### 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
("-p", "--port"),
    default=conf.get('celery', 'FLOWER_PORT'),
    type=int,
    help="The port on which to run the server",
)
ARG_FLOWER_CONF = Arg(("-c", "--flower-conf"), help="Configuration file for flower")
ARG_FLOWER_URL_PREFIX = Arg(
    ("-u", "--url-prefix"), default=conf.get('celery', 'FLOWER_URL_PREFIX'), help="URL prefix for Flower"
)
ARG_FLOWER_BASIC_AUTH = Arg(
    ("-A", "--basic-auth"),
    default=conf.get('celery', 'FLOWER_BASIC_AUTH'),
    help=(
        "Securing Flower with Basic Authentication. "
        "Accepts user:password pairs separated by a comma. "
        "Example: flower_basic_auth = user1:password1,user2:password2"
    ),
)
ARG_TASK_PARAMS = Arg(("-t", "--task-params"), help="Sends a JSON params dict to the task")
ARG_POST_MORTEM = Arg(
    ("-m", "--post-mortem"), action="store_true", help="Open debugger on uncaught exception"
)
ARG_ENV_VARS = Arg(
    ("--env-vars",),
    help="Set env var in both parsing time and runtime for each of entry supplied in a JSON dict",
    type=json.loads,
)
# connections
ARG_CONN_ID = Arg(('conn_id',), help='Connection id, required to get/add/delete a connection', type=str)
ARG_CONN_ID_FILTER = Arg(