### 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
cmd = command._asdict()
    cmd['args'] = (arg for arg in command.args if arg is not ARG_DAG_ID)
    return ActionCommand(**cmd)
dag_cli_commands: List[CLICommand] = [
    GroupCommand(
        name='dags',
        help='Manage DAGs',
        subcommands=[
            _remove_dag_id_opt(sp)
            for sp in DAGS_COMMANDS
            if sp.name in ['backfill', 'list-runs', 'pause', 'unpause']
        ],
    ),
    GroupCommand(
        name='tasks',
        help='Manage tasks',
        subcommands=[_remove_dag_id_opt(sp) for sp in TASKS_COMMANDS if sp.name in ['list', 'test', 'run']],
    ),
]
DAG_CLI_DICT: Dict[str, CLICommand] = {sp.name: sp for sp in dag_cli_commands}
class AirflowHelpFormatter(argparse.HelpFormatter):
    """
    Custom help formatter to display help message.
    It displays simple commands and groups of commands in separate sections.