[SPARK-19165][PYTHON][SQL] PySpark APIs using columns as arguments should validate input types for column

## What changes were proposed in this pull request?

While preparing to take over https://github.com/apache/spark/pull/16537, I realised a (I think) better approach to make the exception handling in one point.

This PR proposes to fix `_to_java_column` in `pyspark.sql.column`, which most of functions in `functions.py` and some other APIs use. This `_to_java_column` basically looks not working with other types than `pyspark.sql.column.Column` or string (`str` and `unicode`).

If this is not `Column`, then it calls `_create_column_from_name` which calls `functions.col` within JVM:

https://github.com/apache/spark/blob/42b9eda80e975d970c3e8da4047b318b83dd269f/sql/core/src/main/scala/org/apache/spark/sql/functions.scala#L76

And it looks we only have `String` one with `col`.

So, these should work:

```python
>>> from pyspark.sql.column import _to_java_column, Column
>>> _to_java_column("a")
JavaObject id=o28
>>> _to_java_column(u"a")
JavaObject id=o29
>>> _to_java_column(spark.range(1).id)
JavaObject id=o33
```

whereas these do not:

```python
>>> _to_java_column(1)
```
```
...
py4j.protocol.Py4JError: An error occurred while calling z:org.apache.spark.sql.functions.col. Trace:
py4j.Py4JException: Method col([class java.lang.Integer]) does not exist
    ...
```

```python
>>> _to_java_column([])
```
```
...
py4j.protocol.Py4JError: An error occurred while calling z:org.apache.spark.sql.functions.col. Trace:
py4j.Py4JException: Method col([class java.util.ArrayList]) does not exist
    ...
```

```python
>>> class A(): pass
>>> _to_java_column(A())
```
```
...
AttributeError: 'A' object has no attribute '_get_object_id'
```

Meaning most of functions using `_to_java_column` such as `udf` or `to_json` or some other APIs throw an exception as below:

```python
>>> from pyspark.sql.functions import udf
>>> udf(lambda x: x)(None)
```

```
...
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.sql.functions.col.
: java.lang.NullPointerException
    ...
```

```python
>>> from pyspark.sql.functions import to_json
>>> to_json(None)
```

```
...
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.sql.functions.col.
: java.lang.NullPointerException
    ...
```

**After this PR**:

```python
>>> from pyspark.sql.functions import udf
>>> udf(lambda x: x)(None)
...
```

```
TypeError: Invalid argument, not a string or column: None of type <type 'NoneType'>. For column literals, use 'lit', 'array', 'struct' or 'create_map' functions.
```

```python
>>> from pyspark.sql.functions import to_json
>>> to_json(None)
```

```
...
TypeError: Invalid argument, not a string or column: None of type <type 'NoneType'>. For column literals, use 'lit', 'array', 'struct' or 'create_map' functions.
```

## How was this patch tested?

Unit tests added in `python/pyspark/sql/tests.py` and manual tests.

Author: hyukjinkwon <gurwls223@gmail.com>
Author: zero323 <zero323@users.noreply.github.com>

Closes #19027 from HyukjinKwon/SPARK-19165.