### 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.
on_failure_callback: None | DagStateChangeCallback | list[DagStateChangeCallback] = None,
        doc_md: str | None = None,
        params: collections.abc.MutableMapping | None = None,
        access_control: dict | None = None,
        is_paused_upon_creation: bool | None = None,
        jinja_environment_kwargs: dict | None = None,
        render_template_as_native_obj: bool = False,
        tags: list[str] | None = None,
        owner_links: dict[str, str] | None = None,
        auto_register: bool = True,
    ):
        from airflow.utils.task_group import TaskGroup
        if tags and any(len(tag) > TAG_MAX_LEN for tag in tags):
            raise AirflowException(f"tag cannot be longer than {TAG_MAX_LEN} characters")
        self.owner_links = owner_links if owner_links else {}
        self.user_defined_macros = user_defined_macros
        self.user_defined_filters = user_defined_filters
        if default_args and not isinstance(default_args, dict):
            raise TypeError("default_args must be a dict")
        self.default_args = copy.deepcopy(default_args or {})
        params = params or {}
        
        if "params" in self.default_args:
            params.update(self.default_args["params"])
            del self.default_args["params"]
        
        self.params = ParamsDict(params)
        if full_filepath:
            warnings.warn(
                "Passing full_filepath to DAG() is deprecated and has no effect",