### Description

Recently, we added [a new DAG dependencies view](https://github.com/apache/airflow/pull/13199) to the webserver. It would be helpful if a similar diagram could also be displayed/generated using the CLI. For now, only [one DAG can be displayed](http://airflow.apache.org/docs/apache-airflow/stable/usage-cli.html#exporting-dag-structure-as-an-image) using CLI.
![image](https://user-images.githubusercontent.com/12058428/137945580-6a33f919-2648-4980-bd2c-b40cfcacc9fe.png)

If anyone is interested, I will be happy to help with the review.

### Use case/motivation

* Keep parity between CLI and web serwer.
* Enable the writing of scripts that use these diagrams, e.g. for attaching in the documentation.

### Related issues

https://github.com/apache/airflow/pull/13199/files

### Are you willing to submit a PR?

- [ ] 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
"""ClI command with subcommands"""
    name: str
    help: str
    subcommands: Iterable
    description: Optional[str] = None
    epilog: Optional[str] = None
CLICommand = Union[ActionCommand, GroupCommand]
DAGS_COMMANDS = (
    ActionCommand(
        name='list',
        help="List all the DAGs",
        func=lazy_load_command('airflow.cli.commands.dag_command.dag_list_dags'),
        args=(ARG_SUBDIR, ARG_OUTPUT, ARG_VERBOSE),
    ),
    ActionCommand(
        name='report',
        help='Show DagBag loading report',
        func=lazy_load_command('airflow.cli.commands.dag_command.dag_report'),
        args=(ARG_SUBDIR, ARG_OUTPUT, ARG_VERBOSE),
    ),
    ActionCommand(
        name='list-runs',
        help="List DAG runs given a DAG id",
        description=(
            "List DAG runs given a DAG id. If state option is given, it will only search for all the "
            "dagruns with the given state. If no_backfill option is given, it will filter out all "
            "backfill dagruns for given dag id. If start_date is given, it will filter out all the "
            "dagruns that were executed before this date. If end_date is given, it will filter out "
            "all the dagruns that were executed after this date. "