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:
But she did a fabulous job letting me know what she was doing at all times and styled my hair in a way i could do it at home.
Postion	Tokenization
1	But
2	she
3	did
4	a
5	fabulous
6	job
7	letting
8	me
9	know
10	what
11	she
12	was
13	doing
14	at
15	all
16	times
17	and
18	styled
19	my
20	hair
21	in
22	a
23	way
24	i
25	could
26	do
27	it
28	at
29	home
30	.
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	18	cc
2	she	PRON	3	nsubj
3	did	VERB	0	root
4	a	DET	6	det
5	fabulous	ADJ	6	amod
6	job	NOUN	3	obj
7	letting	VERB	3	advcl
8	me	PRON	7	obj
9	know	VERB	7	xcomp
10	what	PRON	13	obj
11	she	PRON	13	nsubj
12	was	AUX	13	aux
13	doing	VERB	9	ccomp
14	at	ADP	16	case
15	all	DET	16	det
16	times	NOUN	13	obl
17	and	CCONJ	18	cc
18	styled	VERB	3	conj
19	my	PRON	20	nmod:poss
20	hair	NOUN	18	obj
21	in	ADP	23	case
22	a	DET	23	det
23	way	NOUN	18	obl
24	i	PRON	26	nsubj
25	could	AUX	26	aux
26	do	VERB	23	acl:relcl
27	it	PRON	26	obj
28	at	ADP	29	case
29	home	NOUN	26	obl
30	.	PUNCT	3	punct