[Feature] Support table managements by Spark Procedure

### Search before asking

- [X] I searched in the [issues](https://github.com/apache/incubator-paimon/issues) and found nothing similar.

### Motivation

As https://github.com/apache/incubator-paimon/pull/1785 supports to parse Spark call procedure command, we can try to implement some table managements like snapshot and tag.
We can realize some actions like [Flink](https://github.com/apache/incubator-paimon/tree/6d6633837a8e9b9e8f5be8ad22dfd908470e9587/paimon-flink/paimon-flink-common/src/main/java/org/apache/paimon/flink/action) firstly,
Then we may extend to more action like compaction and [metadata management](https://github.com/apache/incubator-paimon/issues/1155).

List of target action:
- [x] rollback to snapshot/tag
https://github.com/apache/incubator-paimon/pull/1897
- [x] create/delete tag
https://github.com/apache/incubator-paimon/pull/1897
- [ ] migrate from hive to paimon
https://github.com/apache/incubator-paimon/issues/1903
- [ ] expire
https://github.com/apache/incubator-paimon/issues/1529
- [ ] ......

### Solution

_No response_

### Anything else?

_No response_

### Are you willing to submit a PR?

- [X] I'm willing to submit a PR!

Review PR 1785 for Spark CALL PROCEDURE parsing and the Flink action directory linked in the issue to understand the existing table-management patterns. The issue's rollback and tag actions are covered by PR 1897, while migration and expiration point to separate issues; define the remaining Spark action scope before starting. Done means an agreed remaining action is implemented for Spark.

Written by the indexing model from the issue text.