As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
When I get my hair done there, they use enough hairstyling products while it does not ruin your hair.
Postion	Tokenization
1	When
2	I
3	get
4	my
5	hair
6	done
7	there
8	,
9	they
10	use
11	enough
12	hairstyling
13	products
14	while
15	it
16	does
17	not
18	ruin
19	your
20	hair
21	.
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	3	mark
2	I	PRON	3	nsubj
3	get	VERB	10	advcl
4	my	PRON	5	nmod:poss
5	hair	NOUN	3	obj
6	done	VERB	3	xcomp
7	there	ADV	6	advmod
8	,	PUNCT	10	punct
9	they	PRON	10	nsubj
10	use	VERB	0	root
11	enough	ADJ	13	amod
12	hairstyling	NOUN	13	compound
13	products	NOUN	10	obj
14	while	SCONJ	18	mark
15	it	PRON	18	nsubj
16	does	AUX	18	aux
17	not	PART	18	advmod
18	ruin	VERB	10	advcl
19	your	PRON	20	nmod:poss
20	hair	NOUN	18	obj
21	.	PUNCT	10	punct