### Description

Dag serialization is currently out of the hands of the user. Whenever dag reserialization is required, I run this python script. 

```
from airflow.models.serialized_dag import SerializedDagModel
from airflow.settings import Session
session = Session()
session.query(SerializedDagModel).delete()
session.commit()
```

It would be great to have this available from the CLI and/or UI. Or even be able to do it for individual dags without having to delete the whole dag with the trash can button. Also would be worth considering triggering reserialization for any version upgrades that affect dag serialization as part of `airflow db upgrade`.

### Use case/motivation

If your serialized dags get broken for any reason, like the incompatibilities with the changes made in 2.2 recently, reserializing will fix the issue, but it's fairly difficult to trigger reserializing.

### Related issues

_No response_

### Are you willing to submit a PR?

- [x] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

airflow/cli/cli_parser.py
"""CustomParser to display help message"""
    def _check_value(self, action, value):
        """Override _check_value and check conditionally added command"""
        if action.dest == 'subcommand' and value == 'celery':
            executor = conf.get('core', 'EXECUTOR')
            if executor not in (CELERY_EXECUTOR, CELERY_KUBERNETES_EXECUTOR):
                message = (
                    f'celery subcommand works only with CeleryExecutor, your current executor: {executor}'
                )
                raise ArgumentError(action, message)
        if action.dest == 'subcommand' and value == 'kubernetes':
            try:
                import kubernetes.client  
            except ImportError:
                message = (
                    'The kubernetes subcommand requires that you pip install the kubernetes python client.'
                    "To do it, run: pip install 'apache-airflow[cncf.kubernetes]'"
                )
                raise ArgumentError(action, message)
        if action.dest == 'subcommand' and value == 'triggerer':
            if not PY37:
                raise ArgumentError(action, 'triggerer subcommand only works with Python 3.7+')
        if action.choices is not None and value not in action.choices:
            check_legacy_command(action, value)
        super()._check_value(action, value)
    def error(self, message):