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:
Hair By Nivine in eastgardens fixed my hair after i had my hair cut and colored at another salon i felt more confident and the girls are fantastic and ive been going there now for 2 years always happy and they care about my hair had my hair done for my wedding it looked fabolous !
Postion	Tokenization
1	Hair
2	By
3	Nivine
4	in
5	eastgardens
6	fixed
7	my
8	hair
9	after
10	i
11	had
12	my
13	hair
14	cut
15	and
16	colored
17	at
18	another
19	salon
20	i
21	felt
22	more
23	confident
24	and
25	the
26	girls
27	are
28	fantastic
29	and
30	ive
31	i
32	ve
33	been
34	going
35	there
36	now
37	for
38	2
39	years
40	always
41	happy
42	and
43	they
44	care
45	about
46	my
47	hair
48	had
49	my
50	hair
51	done
52	for
53	my
54	wedding
55	it
56	looked
57	fabolous
58	!
Position	Tokenization	UPOS	Head	Deprel
1	Hair	PROPN	6	nsubj
2	By	ADP	3	case
3	Nivine	PROPN	1	nmod
4	in	ADP	5	case
5	eastgardens	PROPN	1	nmod
6	fixed	VERB	0	root
7	my	PRON	8	nmod:poss
8	hair	NOUN	6	obj
9	after	SCONJ	11	mark
10	i	PRON	11	nsubj
11	had	VERB	6	advcl
12	my	PRON	13	nmod:poss
13	hair	NOUN	11	obj
14	cut	VERB	11	xcomp
15	and	CCONJ	16	cc
16	colored	VERB	14	conj
17	at	ADP	19	case
18	another	DET	19	det
19	salon	NOUN	14	obl
20	i	PRON	21	nsubj
21	felt	VERB	6	parataxis
22	more	ADV	23	advmod
23	confident	ADJ	21	xcomp
24	and	CCONJ	28	cc
25	the	DET	26	det
26	girls	NOUN	28	nsubj
27	are	AUX	28	cop
28	fantastic	ADJ	21	conj
29	and	CCONJ	33	cc
30	ive	_	None	_
31	i	PRON	33	nsubj
32	ve	AUX	33	aux
33	been	AUX	33	aux
34	going	VERB	21	conj
35	there	ADV	33	advmod
36	now	ADV	33	advmod
37	for	ADP	38	case
38	2	NUM	38	nummod
39	years	NOUN	33	obl
40	always	ADV	40	advmod
41	happy	ADJ	33	parataxis
42	and	CCONJ	43	cc
43	they	PRON	43	nsubj
44	care	VERB	40	conj
45	about	ADP	46	case
46	my	PRON	46	nmod:poss
47	hair	NOUN	43	obl
48	had	VERB	33	parataxis
49	my	PRON	49	nmod:poss
50	hair	NOUN	47	obj
51	done	VERB	47	xcomp
52	for	ADP	53	case
53	my	PRON	53	nmod:poss
54	wedding	NOUN	50	obl
55	it	PRON	55	nsubj
56	looked	VERB	50	parataxis
57	fabolous	ADJ	55	xcomp
58	!	PUNCT	6	punct