Spark 4.1: Fix row lineage in vectorized ORC reads

[joyhaldar]

VectorizedSparkOrcReaders.StructConverter checked idToConstant before any metadata column, so _row_id matched the generic constant branch and every row received first_row_id. Stored per-row values were ignored and the position offset was never applied. _last_updated_sequence_number had the same problem.

_row_id for a file with first_row_id = 100. Rows 0 and 2 store explicit values (555, 557), rows 1 and 3 store null and should inherit 100 + position.

row	expected	before
0	555	100
1	101	100
2	557	100
3	103	100

• Adds RowIdColumnVector and LastUpdatedSeqColumnVector, mirroring RowIdReader and LastUpdatedSeqReader in OrcValueReaders.
• Moves the metadata-column checks ahead of idToConstant, matching the row-based reader.
• Passes the ORC schema into StructConverter to look up stored _row_id and _last_updated_sequence_number columns by field id.

Row based ORC got lineage support in #15776 and #16534, but the vectorized reader was not added.

Found while adding vectorized coverage to the format model TCK (#17610).

[joyhaldar]

cc: @pvary, @Guosmilesmile, please take a look when you have some time.