### Body

There are some use cases where users want to trigger new DAG run as soon as one finished. This is a request I've seen several times with some variations (for example like this [Stackoverflow question](https://stackoverflow.com/q/75623153/14624409)) but the basic request is the same.

The workaround users do to get such functionality is place `TriggerDagRunOperator` as last task of their DAG invoking the same DAG:

```
from datetime import datetime

from airflow import DAG
from airflow.operators.empty import EmptyOperator
from airflow.operators.trigger_dagrun import TriggerDagRunOperator

with DAG(
    dag_id="example",
    start_date=datetime(2023, 1, 1,),
    catchup=False,
    schedule=None,
) as dag:
    task = EmptyOperator(task_id="first")
    trigger = TriggerDagRunOperator(
        task_id="trigger",
        trigger_dag_id="example",
    )

    task >> trigger

```

As you can see this works nicely:
![Screenshot 2023-03-03 at 14 20 51](https://user-images.githubusercontent.com/45845474/222718862-dfde8a41-24b6-4991-b318-b7f9784514f6.png)

My suggestion is to add first class support for this use case, so the above example will be changed to:

```

from datetime import datetime

from airflow import DAG
from airflow.operators.empty import EmptyOperator
from airflow.operators.trigger_dagrun import TriggerDagRunOperator

with DAG(
    dag_id="example",
    start_date=datetime(2023, 1, 1,),
    catchup=False,
    schedule="@continues",
) as dag:
    task = EmptyOperator(task_id="first")
```

I guess it won't exactly be `"@continues"` but more likely new [ScheduleArg](https://github.com/apache/airflow/blob/8b8552f5c4111fe0732067d7af06aa5285498a79/airflow/models/dag.py#L127) type but I show it like that just for simplification of the idea.

### Committer

- [X] I acknowledge that I am a maintainer/committer of the Apache Airflow project.
"""
        Tests that an attempt to schedule a task after the Dag's end_date
        does not succeed.
        """
        delta = datetime.timedelta(hours=1)
        runs = 3
        start_date = DEFAULT_DATE
        end_date = start_date + (runs - 1) * delta
        dag_id = "test_schedule_dag_start_end_dates"
        dag = DAG(dag_id=dag_id, start_date=start_date, end_date=end_date, schedule=delta)
        dag.add_task(BaseOperator(task_id="faketastic", owner="Also fake"))
        
        dates = []
        interval = None
        for _ in range(runs):
            next_info = dag.next_dagrun_info(interval)
            if next_info is None:
                dates.append(None)
            else:
                interval = next_info.data_interval
                dates.append(interval.start)
        assert all(date is not None for date in dates)
        assert dates[-1] == end_date
        assert dag.next_dagrun_info(interval.start) is None
    def test_next_dagrun_info_catchup(self):