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:
Además, Bjorklund cree que el Valencia tiene mucha confianza por la racha que ha acumulado de seis partidos sin perder en liga y la importante victoria ante el Fiorentina del Martes.
Postion	Tokenization
1	Además
2	,
3	Bjorklund
4	cree
5	que
6	el
7	Valencia
8	tiene
9	mucha
10	confianza
11	por
12	la
13	racha
14	que
15	ha
16	acumulado
17	de
18	seis
19	partidos
20	sin
21	perder
22	en
23	liga
24	y
25	la
26	importante
27	victoria
28	ante
29	el
30	Fiorentina
31	del
32	Martes
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	4	advmod
2	,	PUNCT	1	punct
3	Bjorklund	PROPN	4	nsubj
4	cree	VERB	0	root
5	que	SCONJ	8	mark
6	el	DET	7	det
7	Valencia	PROPN	8	nsubj
8	tiene	VERB	4	ccomp
9	mucha	DET	10	det
10	confianza	NOUN	8	obj
11	por	ADP	13	case
12	la	DET	13	det
13	racha	NOUN	8	obl
14	que	PRON	16	obj
15	ha	AUX	16	aux
16	acumulado	VERB	13	acl
17	de	ADP	19	case
18	seis	NUM	19	nummod
19	partidos	NOUN	13	nmod
20	sin	ADP	21	mark
21	perder	VERB	13	acl
22	en	ADP	23	case
23	liga	NOUN	21	obl
24	y	CCONJ	27	cc
25	la	DET	27	det
26	importante	ADJ	27	amod
27	victoria	NOUN	13	conj
28	ante	ADP	30	case
29	el	DET	30	det
30	Fiorentina	PROPN	27	nmod
31	del	ADP	32	case
32	Martes	NOUN	27	nmod
33	.	PUNCT	4	punct