### 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
#
#
#
"""Command-line interface"""
import argparse
import json
import os
import textwrap
from argparse import Action, ArgumentError, RawTextHelpFormatter
from functools import lru_cache
from typing import Callable, Dict, Iterable, List, NamedTuple, Optional, Union
from airflow import PY37, settings
from airflow.cli.commands.legacy_commands import check_legacy_command
from airflow.configuration import conf
from airflow.exceptions import AirflowException
from airflow.executors.executor_constants import CELERY_EXECUTOR, CELERY_KUBERNETES_EXECUTOR
from airflow.utils.cli import ColorMode
from airflow.utils.helpers import partition
from airflow.utils.module_loading import import_string
from airflow.utils.timezone import parse as parsedate
BUILD_DOCS = "BUILDING_AIRFLOW_DOCS" in os.environ
def lazy_load_command(import_path: str) -> Callable: