small clarification of parsing docs

Author: Jolanrensen

docs/StardustDocs/topics/parse.md

@@ -49,21 +49,26 @@ df.parse { age and weight }
 
 DataFrame supports multiple parser options that can be used to customize the parsing behavior.
 These can be supplied to the `parse` function (or any other function that can implicitly parse `Strings`)
-as an argument:
+as an argument.
+
+For each option you don't supply (or supply `null`) DataFrame will take the value from the
+[Global Parser Options](#global-parser-options).
 
 Available parser options:
 * `locale: Locale` is used to [parse doubles](#parsing-doubles)
-  * Default locale is `Locale.getDefault()`
+  * Global default locale is `Locale.getDefault()`
 * `dateTimePattern: String` is used to parse date and time
+  * Global default supports ISO (local) date-time
 * `dateTimeFormatter: DateTimeFormatter` is used to parse date and time
+  * Is derived from `dateTimePattern` and/or `locale` if `null`
 * `nullStrings: List<String>` is used to treat particular strings as `null` value
-  * Default null strings are **"null"** and **"NULL"**
+  * Global default null strings are **"null"** and **"NULL"**
   * When [reading from CSV](read.md), we include even more defaults, like **""**, and **"NA"**.
   See the KDocs there for the exact details
 * `skipTypes: Set<KType>` types that should be skipped during parsing
-  * Empty set by default; parsing can result in any supported type
+  * Empty set by global default; parsing can result in any supported type
 * `useFastDoubleParser: Boolean` is used to enable or disable the [new fast double parser](#parsing-doubles)
-  * Enabled by default
+  * Enabled by global default
 
 <!---FUN parseWithOptions-->
 
@@ -76,11 +81,12 @@ df.parse(options = ParserOptions(locale = Locale.CHINA, dateTimeFormatter = Date
 
 ### Global Parser Options
 
-You can also set global parser options that will be used by default in [`read`](read.md), [`convert`](convert.md),
-and other `parse` operations.
-These can be seen as a global fallback for the `parserOptions` argument.
+As mentioned before, you can change the default global parser options that will be used by [`read`](read.md),
+[`convert`](convert.md), and other `parse` operations.
+Whenever you don't explicitly provide [parser options](#parser-options) to a function call,
+DataFrame will use these global options instead.
 
-For example, to change the locale to French and add a custom date-time pattern:
+For example, to change the locale to French and add a custom date-time pattern for all following DataFrame calls, do:
 
 <!---FUN globalParserOptions-->
 
@@ -89,7 +95,7 @@ DataFrame.parser.locale = Locale.FRANCE
 DataFrame.parser.addDateTimePattern("dd.MM.uuuu HH:mm:ss")
 ```
 
-This means that the locale being used by the parser is defined as:
+For `locale`, this means that the one being used by the parser is defined as:
 
 ↪ The locale given as function argument directly, or in `parserOptions`, if it is not `null`, else
 
@@ -104,7 +110,8 @@ It is based on [the FastDoubleParser library](https://github.com/wrandelshofer/F
 high performance and configurability
 (in the future, we might expand this support to `Float`, `BigDecimal`, and `BigInteger` as well).
 
-The parser is locale-aware; it will use the locale set by the [parser options](#parser-options) to parse the doubles.
+The parser is locale-aware; it will use the locale set by the
+[(global)](#global-parser-options) [parser options](#parser-options) to parse the doubles.
 It also has a fallback mechanism built in, meaning it can recognize characters from
 all other locales (and some from [Wikipedia](https://en.wikipedia.org/wiki/Decimal_separator))
 and parse them correctly as long as they don't conflict with the current locale.