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:
I'm 22, and my hairdresser was great (and not "old" like one of the reviews says) - she really listened to what I wanted and gave me tons of tips on how to style my hair so I could get it to look the way I wanted it to.
Postion	Tokenization
1	I'm
2	I
3	'm
4	22
5	,
6	and
7	my
8	hairdresser
9	was
10	great
11	(
12	and
13	not
14	"
15	old
16	"
17	like
18	one
19	of
20	the
21	reviews
22	says
23	)
24	-
25	she
26	really
27	listened
28	to
29	what
30	I
31	wanted
32	and
33	gave
34	me
35	tons
36	of
37	tips
38	on
39	how
40	to
41	style
42	my
43	hair
44	so
45	I
46	could
47	get
48	it
49	to
50	look
51	the
52	way
53	I
54	wanted
55	it
56	to
57	.
Position	Tokenization	UPOS	Head	Deprel
1	I'm	_	None	_
2	I	PRON	3	nsubj
3	'm	AUX	3	cop
4	22	NUM	0	root
5	,	PUNCT	9	punct
6	and	CCONJ	9	cc
7	my	PRON	7	nmod:poss
8	hairdresser	NOUN	9	nsubj
9	was	AUX	9	cop
10	great	ADJ	3	conj
11	(	PUNCT	9	punct
12	and	CCONJ	14	cc
13	not	ADV	14	advmod
14	"	PUNCT	14	punct
15	old	ADJ	9	conj
16	"	PUNCT	14	punct
17	like	SCONJ	21	mark
18	one	NUM	21	nsubj
19	of	ADP	20	case
20	the	DET	20	det
21	reviews	NOUN	17	nmod
22	says	VERB	14	advcl
23	)	PUNCT	9	punct
24	-	PUNCT	3	punct
25	she	PRON	26	nsubj
26	really	ADV	26	advmod
27	listened	VERB	3	parataxis
28	to	SCONJ	28	case
29	what	PRON	26	obl
30	I	PRON	30	nsubj
31	wanted	VERB	28	acl:relcl
32	and	CCONJ	32	cc
33	gave	VERB	26	conj
34	me	PRON	32	iobj
35	tons	NOUN	32	obj
36	of	ADP	36	case
37	tips	NOUN	34	nmod
38	on	SCONJ	40	mark
39	how	SCONJ	40	mark
40	to	PART	40	mark
41	style	VERB	36	acl
42	my	PRON	42	nmod:poss
43	hair	NOUN	40	obj
44	so	SCONJ	46	mark
45	I	PRON	46	nsubj
46	could	AUX	46	aux
47	get	VERB	40	advcl
48	it	PRON	46	obj
49	to	PART	49	mark
50	look	VERB	46	xcomp
51	the	DET	51	det
52	way	NOUN	49	obj
53	I	PRON	53	nsubj
54	wanted	VERB	51	acl:relcl
55	it	PRON	53	obj
56	to	PART	53	xcomp
57	.	PUNCT	3	punct