### 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
help='Do not capture standard output and error streams (useful for interactive debugging)',
    action='store_true',
)
ARG_FORCE = Arg(
    ("-f", "--force"),
    help="Ignore previous task instance state, rerun regardless if task already succeeded/failed",
    action="store_true",
)
ARG_RAW = Arg(("-r", "--raw"), argparse.SUPPRESS, "store_true")
ARG_IGNORE_ALL_DEPENDENCIES = Arg(
    ("-A", "--ignore-all-dependencies"),
    help="Ignores all non-critical dependencies, including ignore_ti_state and ignore_task_deps",
    action="store_true",
)
ARG_IGNORE_DEPENDENCIES = Arg(
    ("-i", "--ignore-dependencies"),
    help="Ignore task-specific dependencies, e.g. upstream, depends_on_past, and retry delay dependencies",
    action="store_true",
)
ARG_IGNORE_DEPENDS_ON_PAST = Arg(
    ("-I", "--ignore-depends-on-past"),
    help="Ignore depends_on_past dependencies (but respect upstream dependencies)",
    action="store_true",
)
ARG_SHIP_DAG = Arg(
    ("--ship-dag",), help="Pickles (serializes) the DAG and ships it to the worker", action="store_true"
)
ARG_PICKLE = Arg(("-p", "--pickle"), help="Serialized pickle object of the entire dag (used internally)")
ARG_ERROR_FILE = Arg(("--error-file",), help="File to store task failure error")
ARG_JOB_ID = Arg(("-j", "--job-id"), help=argparse.SUPPRESS)