### 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/commands/dag_command.py
from airflow.utils import cli as cli_utils
from airflow.utils.cli import (
    get_dag,
    get_dag_by_file_location,
    process_subdir,
    sigint_handler,
    suppress_logs_and_warning,
)
from airflow.utils.dot_renderer import render_dag
from airflow.utils.session import create_session, provide_session
from airflow.utils.state import State
@cli_utils.action_logging
def dag_backfill(args, dag=None):
    """Creates backfill job or dry run for a DAG"""
    logging.basicConfig(level=settings.LOGGING_LEVEL, format=settings.SIMPLE_LOG_FORMAT)
    signal.signal(signal.SIGTERM, sigint_handler)
    import warnings
    warnings.warn(
        '--ignore-first-depends-on-past is deprecated as the value is always set to True',
        category=PendingDeprecationWarning,
    )
    if args.ignore_first_depends_on_past is False:
        args.ignore_first_depends_on_past = True
    if not args.start_date and not args.end_date:
        raise AirflowException("Provide a start_date and/or end_date")
    dag = dag or get_dag(args.subdir, args.dag_id)
    
    args.end_date = args.end_date or args.start_date
    args.start_date = args.start_date or args.end_date
    if args.task_regex: