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:
Los estetas del partido ya tenían experiencia en ello porque lo mismo habían hecho antes con Angel Colom, que pasó de los vaqueros y barba desaliñada a su cuidado aspecto actual.
Postion	Tokenization
1	Los
2	estetas
3	del
4	partido
5	ya
6	tenían
7	experiencia
8	en
9	ello
10	porque
11	lo
12	mismo
13	habían
14	hecho
15	antes
16	con
17	Angel
18	Colom
19	,
20	que
21	pasó
22	de
23	los
24	vaqueros
25	y
26	barba
27	desaliñada
28	a
29	su
30	cuidado
31	aspecto
32	actual
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	estetas	NOUN	6	nsubj
3	del	ADP	4	case
4	partido	NOUN	2	nmod
5	ya	ADV	6	advmod
6	tenían	VERB	0	root
7	experiencia	NOUN	6	obj
8	en	ADP	9	case
9	ello	PRON	7	nmod
10	porque	SCONJ	14	mark
11	lo	PRON	12	det
12	mismo	PRON	14	obj
13	habían	AUX	14	aux
14	hecho	VERB	6	advcl
15	antes	ADV	14	advmod
16	con	ADP	17	case
17	Angel	PROPN	14	obl
18	Colom	PROPN	17	flat
19	,	PUNCT	21	punct
20	que	PRON	21	nsubj
21	pasó	VERB	17	acl
22	de	ADP	24	case
23	los	DET	24	det
24	vaqueros	NOUN	21	obl
25	y	CCONJ	26	cc
26	barba	NOUN	24	conj
27	desaliñada	ADJ	26	amod
28	a	ADP	31	case
29	su	DET	31	det
30	cuidado	ADJ	31	amod
31	aspecto	NOUN	21	obl
32	actual	ADJ	31	amod
33	.	PUNCT	6	punct