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:
Desde el partido le fueron inculcando su cambio de imagen, un nuevo aire a su pelo y a su cara y un nuevo estilo en las prendas de vestir.
Postion	Tokenization
1	Desde
2	el
3	partido
4	le
5	fueron
6	inculcando
7	su
8	cambio
9	de
10	imagen
11	,
12	un
13	nuevo
14	aire
15	a
16	su
17	pelo
18	y
19	a
20	su
21	cara
22	y
23	un
24	nuevo
25	estilo
26	en
27	las
28	prendas
29	de
30	vestir
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	3	case
2	el	DET	3	det
3	partido	NOUN	6	obl
4	le	PRON	6	obj
5	fueron	AUX	6	aux
6	inculcando	VERB	0	root
7	su	DET	8	det
8	cambio	NOUN	6	obj
9	de	ADP	10	case
10	imagen	NOUN	8	nmod
11	,	PUNCT	14	punct
12	un	DET	14	det
13	nuevo	ADJ	14	amod
14	aire	NOUN	6	obl
15	a	ADP	17	case
16	su	DET	17	det
17	pelo	NOUN	14	nmod
18	y	CCONJ	21	cc
19	a	ADP	21	case
20	su	DET	21	det
21	cara	NOUN	17	conj
22	y	CCONJ	25	cc
23	un	DET	25	det
24	nuevo	ADJ	25	amod
25	estilo	NOUN	6	conj
26	en	ADP	28	case
27	las	DET	28	det
28	prendas	NOUN	25	nmod
29	de	ADP	30	mark
30	vestir	VERB	28	acl
31	.	PUNCT	6	punct