### Apache Airflow version

2.2.2

### What happened

Current time 16:54 UTC
Execution Schedule: * * * * *
Last Run: 16:19 UTC
DAG Paused
Catchup=False

`airflow dags next-execution sample_dag`
returns
```
[INFO] Please be reminded this DAG is PAUSED now.
2022-03-22T16:20:00+00:00
```

### What you think should happen instead

I would expect
```
[INFO] Please be reminded this DAG is PAUSED now.
2022-03-22T16:53:00+00:00
```
To be returned since when you unpause the DAG that is the next executed DAG

### How to reproduce

Create a simple sample dag with a schedule of * * * * * and pause with catchup=False and wait a few minutes, then run 
`airflow dags next-execution sample_dag`

### Operating System

Debian

### Versions of Apache Airflow Providers

Airflow 2.2.2

### Deployment

Astronomer

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit 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)

dags = dag if type(dag) == list else [dag]
    dags.sort(key=lambda d: d.dag_id)
    
    args.end_date = args.end_date or args.start_date
    args.start_date = args.start_date or args.end_date
    run_conf = None
    if args.conf:
        run_conf = json.loads(args.conf)
    for dag in dags:
        if args.task_regex:
            dag = dag.partial_subset(
                task_ids_or_regex=args.task_regex, include_upstream=not args.ignore_dependencies
            )
            if not dag.task_dict:
                raise AirflowException(
                    f"There are no tasks that match '{args.task_regex}' regex. Nothing to run, exiting..."
                )
        if args.dry_run:
            print(f"Dry run of DAG {dag.dag_id} on {args.start_date}")
            dr = DagRun(dag.dag_id, execution_date=args.start_date)
            for task in dag.tasks:
                print(f"Task {task.task_id} located in DAG {dag.dag_id}")
                ti = TaskInstance(task, run_id=None)
                ti.dag_run = dr
                ti.dry_run()
        else:
            if args.reset_dagruns:
                DAG.clear_dags(
                    [dag],
                    start_date=args.start_date,