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:
Patrick Kluivert convirtió el polémico penalti que dio el triunfo al equipo azulgrana y ya suma diez dianas en lo que va de Liga.
Postion	Tokenization
1	Patrick
2	Kluivert
3	convirtió
4	el
5	polémico
6	penalti
7	que
8	dio
9	el
10	triunfo
11	al
12	equipo
13	azulgrana
14	y
15	ya
16	suma
17	diez
18	dianas
19	en
20	lo
21	que
22	va
23	de
24	Liga
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Patrick	PROPN	3	nsubj
2	Kluivert	PROPN	1	flat
3	convirtió	VERB	0	root
4	el	DET	6	det
5	polémico	ADJ	6	amod
6	penalti	NOUN	3	obj
7	que	PRON	8	nsubj
8	dio	VERB	6	acl
9	el	DET	10	det
10	triunfo	NOUN	8	obj
11	al	ADP	12	case
12	equipo	NOUN	8	obj
13	azulgrana	ADJ	12	amod
14	y	CCONJ	16	cc
15	ya	ADV	16	advmod
16	suma	VERB	3	conj
17	diez	NUM	18	nummod
18	dianas	NOUN	16	obj
19	en	ADP	22	mark
20	lo	PRON	22	det
21	que	PRON	22	nsubj
22	va	VERB	16	advcl
23	de	ADP	24	case
24	Liga	PROPN	22	obl
25	.	PUNCT	3	punct