[Feature] Paimon Support Spark Field Metadata

### Search before asking

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

### Motivation

After Spark3.3+, which support field with meatdata, currently paimon schema don't support the field metadata, So we need to support this.
And, after Spark3.4, Spark SQL Support FIELD DEFAULT VALUE, which is add field default value into field metadata. So If we wanna support SPARK DEFAULT VALUE, we need support metadata first.

### Solution

1. When Create Spark Table, add the metadata configs into schema options field.
2. When Load Spark Table, add the metadata configs from options into StructType
3. Whe Alter Spark Table, should support AddColumn(contains defaultValue), UpdateColumnDefaultValue, DeleteColumn(delete metadata in options)

### Anything else?

_No response_

### Are you willing to submit a PR?

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

Start by tracing the Spark table create, load, and alter paths described in the issue, including AddColumn, UpdateColumnDefaultValue, and DeleteColumn. Verify how schema options are written and read, then confirm that field metadata and default-value metadata survive creation, loading, and each alteration.

Written by the indexing model from the issue text.