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:
Not only was it a good cut but my wife and friends comment on my hair every time I leave...saying it's the best look I've ever had.
Postion	Tokenization
1	Not
2	only
3	was
4	it
5	a
6	good
7	cut
8	but
9	my
10	wife
11	and
12	friends
13	comment
14	on
15	my
16	hair
17	every
18	time
19	I
20	leave
21	...
22	saying
23	it's
24	it
25	's
26	the
27	best
28	look
29	I've
30	I
31	've
32	ever
33	had
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Not	ADV	2	advmod
2	only	ADV	7	advmod
3	was	AUX	7	cop
4	it	PRON	7	nsubj
5	a	DET	7	det
6	good	ADJ	7	amod
7	cut	NOUN	0	root
8	but	CCONJ	13	cc
9	my	PRON	10	nmod:poss
10	wife	NOUN	13	nsubj
11	and	CCONJ	12	cc
12	friends	NOUN	10	conj
13	comment	VERB	7	conj
14	on	ADP	16	case
15	my	PRON	16	nmod:poss
16	hair	NOUN	13	obl
17	every	DET	18	det
18	time	NOUN	13	obl:tmod
19	I	PRON	20	nsubj
20	leave	VERB	18	acl:relcl
21	...	PUNCT	13	punct
22	saying	VERB	13	advcl
23	it's	_	None	_
24	it	PRON	27	nsubj
25	's	AUX	27	cop
26	the	DET	27	det
27	best	ADJ	27	amod
28	look	NOUN	22	ccomp
29	I've	_	None	_
30	I	PRON	31	nsubj
31	've	AUX	31	aux
32	ever	ADV	31	advmod
33	had	VERB	27	acl:relcl
34	.	PUNCT	4	punct