BUG: Spotless SQL DBeaver formatter produces INVALID spark sql syntax with whitespaces added inside backticks and other places

If you are submitting a **bug**, please include the following:

Hi Team,

We have a big side-effect of using DBeaver SQL formatter within spotless "as is".

When I run this formatter on valid Spark SQL code where column name is wrapped with backtick symbol, it puts whitespaces around column name making .sql valid INVALID for spark to run within
`spark.sql("sql-query-from-file")`

It's easy to reproduce. Just create a simple SQL file within columns given below with backticks (see: Expected example) and you'll see it's formatter to "Current behavior" that is not valid syntax.

Versions:
```
Gradle v8+. No matter what version, it doesn't work!
Spotless v.6.25.0. No matter what version, it doesn't work!
```

```
spotless {
sql {
dbeaver().configFile(rootProject.file(".dbeaver.properties"))

target("/**/*.sql")
}
}
```
**.dbeaver.properties**
```
sql.formatter.keyword.case=UPPER
sql.formatter.statement.delimiter=;
sql.formatter.indent.type=space
sql.formatter.indent.size=2
```

Current behavior (formatter gives not valid spark sql):
```
` MyCol.1 ` AS MY_COLUMN_1, -- whitespace inside backticks
` MyCol.2 ` AS MY_COLUMN_2 -- whitespace inside backticks
```
Expected (valid spark sql):
```
`MyCol.1` AS MY_COLUMN_1, -- no whitespace inside backticks
`MyCol.2` AS MY_COLUMN_2 -- no whitespace inside backticks
```

UPD:
Other problems with whitespace were discovered that makes it IMPOSSIBLE to use Spotless anymore :(

- Adding spaces when we have columns wrapped with backtick `` (known and shown above)
- Adding spaces when we have columns which start with number. e.g `3p_dummy` -> `3 p_dummy`
- Adding spaces when accessing arrays in SQL. e.g `arr[0]` -> `arr [ 0 ]`
- Adding spaces to some literal columns: e.g `0L as dummy` -> `0 L as dummy`

It seem like so popular Spark SQL syntax isn't supported here. Would appreciate it addressing asap or propose a possible workaround

- [x] summary of problem
- [x] Gradle or Maven version
- [x] spotless version
- [x] operating system and version
- [x] copy-paste your full Spotless configuration block(s), and a link to a public git repo that reproduces the problem if possible
- [x] copy-paste the full content of any console errors emitted by `gradlew spotless[Apply/Check] --stacktrace`

If you're just submitting a feature request or question, no need for the above.

Beginne damit, die Formatter-Ausgabe mit der gezeigten Gradle spotless sql/dbeaver-Konfiguration und der Datei .dbeaver.properties zu reproduzieren, wobei die Beispiele für Backticks, numerische Bezeichner, Arrays und Literale verwendet werden. Führe gradlew spotlessApply oder spotlessCheck aus und vergleiche das Ergebnis mit gültigem Spark SQL. Als erledigt gilt dies, wenn die Formatierung Syntax wie `MyCol.1`, 3p_dummy, arr[0] und 0L bewahrt, ohne ungültigen Leerraum einzuführen.

Vom Indexierungsmodell aus dem Issue-Text verfasst.