[SQL] Support reading Parquet UUID logical type

[ravikiranpagidi]

What changes were proposed in this pull request?

This PR maps Parquet UUID logical annotations on FIXED_LEN_BYTE_ARRAY(16) columns to Spark SQL BinaryType.

It also adds schema conversion coverage and extends the fixed-length byte array IO test with a UUID-annotated column for both vectorized and non-vectorized readers.

Closes #55684.

Why are the changes needed?

Spark currently rejects Parquet UUID columns with PARQUET_TYPE_ILLEGAL, even though their 16-byte physical representation can be preserved as binary data. Spark does not expose a UUID SQL type, so BinaryType retains the value without losing information and matches the handling of unannotated fixed-length byte arrays.

Does this PR introduce any user-facing change?

Yes. Spark can read Parquet files containing UUID logical annotations. The UUID values are exposed as 16-byte binary values instead of failing during schema inference.

How was this patch tested?

• Added a Parquet-to-Catalyst schema conversion test for FIXED_LEN_BYTE_ARRAY(16) (UUID); the test passed.
• Extended SPARK-41096: FIXED_LEN_BYTE_ARRAY support to write and read a UUID-annotated field with vectorized and non-vectorized readers.
• build/sbt "sql/scalastyle" passed with zero findings.
• git diff --check passed.
• On this Windows environment, the shared Spark SQL test harness reports that HADOOP_HOME / winutils.exe is unavailable. The schema test itself passed, while the IO suite aborted during shared setup before the targeted test could run.