### 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
name='generate-dag-yaml',
        help="Generate YAML files for all tasks in DAG. Useful for debugging tasks without "
        "launching into a cluster",
        func=lazy_load_command('airflow.cli.commands.kubernetes_command.generate_pod_yaml'),
        args=(ARG_DAG_ID, ARG_EXECUTION_DATE, ARG_SUBDIR, ARG_OUTPUT_PATH),
    ),
)
JOBS_COMMANDS = (
    ActionCommand(
        name='check',
        help="Checks if job(s) are still alive",
        func=lazy_load_command('airflow.cli.commands.jobs_command.check'),
        args=(ARG_JOB_TYPE_FILTER, ARG_JOB_HOSTNAME_FILTER, ARG_JOB_LIMIT, ARG_ALLOW_MULTIPLE),
        epilog=(
            'examples:\n'
            'To check if the local scheduler is still working properly, run:\n'
            '\n'
            '    $ airflow jobs check --job-type SchedulerJob --hostname "$(hostname)"\n'
            '\n'
            'To check if any scheduler is running when you are using high availability, run:\n'
            '\n'
            '    $ airflow jobs check --job-type SchedulerJob --allow-multiple --limit 100'
        ),
    ),
)
airflow_commands: List[CLICommand] = [
    GroupCommand(
        name='dags',
        help='Manage DAGs',
        subcommands=DAGS_COMMANDS,