Add support for DataFusion specific statements

**Context**

[arrow-datafusion](https://github.com/apache/arrow-datafusion) currently implements its own parser, [DFParser](https://github.com/apache/arrow-datafusion/blob/d2b3d1c7538b9fb7ab9cfc0c4c6a238b0dcd91e6/datafusion/sql/src/parser.rs#L246-L256) which wraps the parser in this crate in order to parse some DataFusion specific statements.

DataFusion issue: https://github.com/apache/arrow-datafusion/issues/4808

Aiming to upstream this functionality into this crate to remove the parsing code from DataFusion.

**Statements**

Currently two custom statements that DataFusion parses: `COPY TO ...` and `CREATE EXTERNAL TABLE ...`

- There is `EXPLAIN` too, but this is only there to support doing `EXPLAIN` for those new extensions

**COPY TO**

Syntax:

```sql
COPY | ()
TO ''
[ ( key1 value1, key2 value2) ]
```

Examples:

```sql
COPY lineitem TO '/path/to/lineitem.parquet' (format parquet, partitions 16);
COPY (SELECT * FROM lineitem) TO '/path/to/lineitem.parquet';
```

This is extremely similar to the [`COPY` statement from PostgreSQL](https://www.postgresql.org/docs/current/sql-copy.html) that sqlparser-rs already supports, with a few key differences:

1. Doesn't support optional `WITH` keyword
2. Only supports `COPY TO` and not `COPY FROM`
3. Doesn't support column list when source is table
4. Only supports target as string literal, not PROGRAM or STDOUT
5. Options list doesn't constrain keys to a defined set

Points 2, 3 & 4 are non-issues since can inspect the Statement AST to check if want to support this:

https://github.com/sqlparser-rs/sqlparser-rs/blob/a430d1a5a7bb04bbefd0f2fea07bf25c7fbce8b2/src/ast/mod.rs#L1463-L1479

Point 1 is a minor issue as the Statement AST above doesn't specify if there was a `WITH` keyword found when parsing, but at the same time DataFusion could just accept this new syntax since this optional keyword has minimal impact.

Point 5 is the major issue, as would either need to modify the fields of the existing `Copy` enum or add a new one specific for DataFusion, since it is a requirement that the keys cannot be constrained (would be parsed as `String`).

**CREATE EXTERNAL TABLE**

Syntax:

```sql
CREATE [ UNBOUNDED ] EXTERNAL TABLE
[ IF NOT EXISTS ]
[ () ]
STORED AS
[ WITH HEADER ROW ]
[ DELIMITER ]
[ COMPRESSION TYPE ]
[ PARTITIONED BY () ]
[ WITH ORDER ()
[ OPTIONS () ]
LOCATION

:= ( , ...)

:= (, ...)

:= ( , ...)

:= ( , ...)
```

Example:

```sql
CREATE UNBOUNDED EXTERNAL TABLE IF NOT EXISTS
kumachan (c1 int)
STORED AS CSV
WITH HEADER ROW
DELIMITER ','
COMPRESSION TYPE zstd
PARTITIONED BY (c1)
WITH ORDER (c1 asc)
OPTIONS (
'k1' 'v1',
'k2' 'v2'
)
LOCATION '/file'
```

This seems to vary heavily from the existing support for `CreateTable`:

https://github.com/sqlparser-rs/sqlparser-rs/blob/a430d1a5a7bb04bbefd0f2fea07bf25c7fbce8b2/src/ast/mod.rs#L1561-L1604

- Varies in the keyword parsing, such as `WITH HEADER ROW` and `WITH ORDER`

So might need a new statement for this? Or could try to retrofit onto the existing `CreateTable` statement.

**Dialect**

Also will need a new DataFusion dialect to support the above customization (e.g. to be able to toggle between previous/default behaviour for `COPY TO` to parse options as predefined keys, or as generic).

**Alternative**

Instead of adding/modifying as described, could investigate ways to make it easier for downstream consumers to parse their own custom statements.

I see there is this dialect function:

https://github.com/sqlparser-rs/sqlparser-rs/blob/a430d1a5a7bb04bbefd0f2fea07bf25c7fbce8b2/src/dialect/mod.rs#L171-L175

But this doesn't allow for custom statements.

I'm unsure what this could look like, but worth a thought.

Inizia confrontando DFParser di DataFusion con le definizioni AST esistenti di Copy e CreateTable in src/ast/mod.rs, quindi esamina il punto di estensione dei dialetti in src/dialect/mod.rs. Determina se siano più adatti statement dedicati o un meccanismo di custom statement downstream; il lavoro è completato quando la sintassi specifica di DataFusion COPY TO e CREATE EXTERNAL TABLE, incluso il relativo comportamento del dialetto, può essere analizzata senza logica del parser duplicata in DataFusion.

Scritto dal modello di indicizzazione a partire dal testo della issue.