### 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
"""Add this argument to an ArgumentParser"""
        parser.add_argument(*self.flags, **self.kwargs)
def positive_int(*, allow_zero):
    """Define a positive int type for an argument."""
    def _check(value):
        try:
            value = int(value)
            if allow_zero and value == 0:
                return value
            if value > 0:
                return value
        except ValueError:
            pass
        raise argparse.ArgumentTypeError(f"invalid positive int value: '{value}'")
    return _check
ARG_DAG_ID = Arg(("dag_id",), help="The id of the dag")
ARG_TASK_ID = Arg(("task_id",), help="The id of the task")
ARG_EXECUTION_DATE = Arg(("execution_date",), help="The execution date of the DAG", type=parsedate)
ARG_EXECUTION_DATE_OR_DAGRUN_ID = Arg(
    ('execution_date_or_run_id',), help="The execution_date of the DAG or run_id of the DAGRun"
)
ARG_TASK_REGEX = Arg(
    ("-t", "--task-regex"), help="The regex to filter specific task_ids to backfill (optional)"