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:
Para mal de los visitantes, el colombiano Yepes se lució en la marca de la defensa riverplatense y su figura creció hasta convertirse en la gran estrella del juego.
Postion	Tokenization
1	Para
2	mal
3	de
4	los
5	visitantes
6	,
7	el
8	colombiano
9	Yepes
10	se
11	lució
12	en
13	la
14	marca
15	de
16	la
17	defensa
18	riverplatense
19	y
20	su
21	figura
22	creció
23	hasta
24	convertirse
25	convertir
26	se
27	en
28	la
29	gran
30	estrella
31	del
32	juego
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	case
2	mal	NOUN	11	obl
3	de	ADP	5	case
4	los	DET	5	det
5	visitantes	NOUN	2	nmod
6	,	PUNCT	2	punct
7	el	DET	8	det
8	colombiano	NOUN	11	nsubj
9	Yepes	PROPN	8	appos
10	se	PRON	11	expl:pv
11	lució	VERB	0	root
12	en	ADP	14	case
13	la	DET	14	det
14	marca	NOUN	11	obj
15	de	ADP	17	case
16	la	DET	17	det
17	defensa	NOUN	14	nmod
18	riverplatense	ADJ	17	amod
19	y	CCONJ	22	cc
20	su	DET	21	det
21	figura	NOUN	22	nsubj
22	creció	VERB	11	conj
23	hasta	ADP	24	mark
24	convertirse	_	None	_
25	convertir	VERB	22	advcl
26	se	PRON	24	expl:pv
27	en	ADP	29	case
28	la	DET	29	det
29	gran	ADJ	29	amod
30	estrella	NOUN	24	obj
31	del	ADP	31	case
32	juego	NOUN	29	nmod
33	.	PUNCT	11	punct