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 trajes son tan parecidos que da que pensar en un encontronazo en el próximo partido que enfrente al Sevilla, donde juega el primer novio, con el Madrid, donde ejerce el segundo.
Postion	Tokenization
1	Los
2	trajes
3	son
4	tan
5	parecidos
6	que
7	da
8	que
9	pensar
10	en
11	un
12	encontronazo
13	en
14	el
15	próximo
16	partido
17	que
18	enfrente
19	al
20	Sevilla
21	,
22	donde
23	juega
24	el
25	primer
26	novio
27	,
28	con
29	el
30	Madrid
31	,
32	donde
33	ejerce
34	el
35	segundo
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	trajes	NOUN	5	nsubj
3	son	AUX	5	cop
4	tan	ADV	5	advmod
5	parecidos	ADJ	0	root
6	que	SCONJ	7	mark
7	da	ADP	5	advcl
8	que	SCONJ	9	case
9	pensar	NOUN	7	compound
10	en	ADP	12	case
11	un	DET	12	det
12	encontronazo	NOUN	7	obj
13	en	ADP	16	case
14	el	DET	16	det
15	próximo	ADJ	16	amod
16	partido	NOUN	12	nmod
17	que	PRON	18	nsubj
18	enfrente	VERB	16	acl
19	al	ADP	20	case
20	Sevilla	PROPN	18	obj
21	,	PUNCT	23	punct
22	donde	PRON	23	obl
23	juega	VERB	20	acl
24	el	DET	26	det
25	primer	ADJ	26	amod
26	novio	NOUN	23	nsubj
27	,	PUNCT	23	punct
28	con	ADP	30	case
29	el	DET	30	det
30	Madrid	PROPN	18	obj
31	,	PUNCT	33	punct
32	donde	PRON	33	obl
33	ejerce	VERB	30	acl
34	el	DET	35	det
35	segundo	ADJ	33	nsubj
36	.	PUNCT	5	punct