### 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)

tests/cli/commands/test_dag_command.py
dag_command.dag_trigger(
            self.parser.parse_args(
                [
                    'dags',
                    'trigger',
                    'example_bash_operator',
                    '--run-id=test_trigger_dag',
                    '--exec-date=2021-06-04T09:00:00+08:00',
                    '--conf={"foo": "bar"}',
                ],
            ),
        )
        with create_session() as session:
            dagrun = session.query(DagRun).filter(DagRun.run_id == "test_trigger_dag").one()
        assert dagrun, "DagRun not created"
        assert dagrun.run_type == DagRunType.MANUAL
        assert dagrun.external_trigger
        assert dagrun.conf == {"foo": "bar"}
        
        assert dagrun.execution_date.isoformat(timespec="seconds") == "2021-06-04T01:00:00+00:00"
        
        
        assert dagrun.data_interval_start.isoformat(timespec="seconds") == "2021-06-03T00:00:00+00:00"
        assert dagrun.data_interval_end.isoformat(timespec="seconds") == "2021-06-04T00:00:00+00:00"
    def test_trigger_dag_invalid_conf(self):