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:
Pero el Arsenal también descubrió cómo frenar la improvisación de Rivaldo, Figo y Luis Enrique, los jugadores de los que sigue dependiendo el rendimiento del once de Van Gaal.
Postion	Tokenization
1	Pero
2	el
3	Arsenal
4	también
5	descubrió
6	cómo
7	frenar
8	la
9	improvisación
10	de
11	Rivaldo
12	,
13	Figo
14	y
15	Luis
16	Enrique
17	,
18	los
19	jugadores
20	de
21	los
22	que
23	sigue
24	dependiendo
25	el
26	rendimiento
27	del
28	once
29	de
30	Van
31	Gaal
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	5	advmod
2	el	DET	3	det
3	Arsenal	PROPN	5	nsubj
4	también	ADV	5	advmod
5	descubrió	VERB	0	root
6	cómo	PRON	7	obl
7	frenar	VERB	5	xcomp
8	la	DET	9	det
9	improvisación	NOUN	7	obj
10	de	ADP	11	case
11	Rivaldo	PROPN	9	nmod
12	,	PUNCT	13	punct
13	Figo	PROPN	11	conj
14	y	CCONJ	15	cc
15	Luis	PROPN	11	conj
16	Enrique	PROPN	15	flat
17	,	PUNCT	19	punct
18	los	DET	19	det
19	jugadores	NOUN	11	appos
20	de	ADP	22	case
21	los	DET	22	det
22	que	PRON	24	obj
23	sigue	VERB	19	acl
24	dependiendo	VERB	23	xcomp
25	el	DET	26	det
26	rendimiento	NOUN	23	nsubj
27	del	ADP	28	case
28	once	NUM	26	nummod
29	de	ADP	30	case
30	Van	PROPN	28	nmod
31	Gaal	PROPN	30	flat
32	.	PUNCT	5	punct