[SPARK-33863][PYTHON] Respect session timezone in udf workers

[gaogaotiantian]

What changes were proposed in this pull request?

Respect spark.sql.session.timeZone in UDF workers.

This is discussed in #52980 but we decided to move it to a separate PR. There are still open questions left

1. It seems like this method can't get the changes by spark.conf.set. I believe this is trivial to people who are familiar with the configs so I did not investigate too much.
2. pandas/arrow UDFs are actually reading this config, but seems like that's only passed for those kind of UDFs. The message has no structure.

Why are the changes needed?

Relying on the timezone of local machine does not make any sense.

Does this PR introduce any user-facing change?

Yes. The UDF behavior regarding to timestamps and timezones will be changed.

How was this patch tested?

Manually

Was this patch authored or co-authored using generative AI tooling?

No

[gaogaotiantian]

@cloud-fan , @ueshin , @zhengruifeng we've discussed this but did not reach to a conclusion. I had a draft here and a few questions. We probably need to further discuss about the implementation and implication.