Support version/timestamp range queries in Spark SQL syntax

### Feature Request / Improvement

Spark SQL supports point-in-time queries via `VERSION AS OF` and `TIMESTAMP AS OF`, but there is no SQL syntax for querying a range of versions or timestamps. This is useful for incremental consumption patterns.

The underlying scan infrastructure fully supports this. `IncrementalScan` provides `fromSnapshotInclusive`, `fromSnapshotExclusive`, and `toSnapshot`.

There is:
```
CALL spark_catalog.system.create_changelog_view(
table => 'db.tbl',
options => map('start-snapshot-id','1','end-snapshot-id', '2')
);
SELECT * FROM tbl_changes;
```
But this does not provide a direct SQL query syntax for version ranges.

## Proposal

Add SQL syntax for version/timestamp range queries. Possible forms (open for discussion):

```sql
-- by snapshot ID
SELECT * FROM db.table VERSION BETWEEN 1 AND 5

-- by timestamp
SELECT * FROM db.table TIMESTAMP BETWEEN '2024-01-01' AND '2024-06-01'

-- by tag/branch ref
SELECT * FROM db.table VERSION BETWEEN 'tag-a' AND 'tag-b'
```

### Query engine

Spark

### Willingness to contribute

- [ ] I can contribute this improvement/feature independently
- [x] I would be willing to contribute this improvement/feature with guidance from the Iceberg community
- [ ] I cannot contribute this improvement/feature at this time

Start with the existing Spark SQL VERSION AS OF and TIMESTAMP AS OF support, then inspect IncrementalScan and its fromSnapshotInclusive, fromSnapshotExclusive, and toSnapshot fields. Review the create_changelog_view example for current range-query behavior. Done means the community agrees on range syntax and it uses the existing scan capabilities for snapshot IDs, timestamps, or refs.

Written by the indexing model from the issue text.