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 no es bueno elegir tu clasificación para que te toque un rival u otro, porque tenemos el caso del Tau la pasada campaña ", explicó.
Postion	Tokenization
1	Además
2	no
3	es
4	bueno
5	elegir
6	tu
7	clasificación
8	para
9	que
10	te
11	toque
12	un
13	rival
14	u
15	otro
16	,
17	porque
18	tenemos
19	el
20	caso
21	del
22	Tau
23	la
24	pasada
25	campaña
26	"
27	,
28	explicó
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	4	advmod
2	no	ADV	4	advmod
3	es	AUX	4	cop
4	bueno	ADJ	28	advcl
5	elegir	VERB	4	csubj
6	tu	DET	7	det
7	clasificación	NOUN	5	obj
8	para	ADP	11	mark
9	que	SCONJ	11	mark
10	te	PRON	11	iobj
11	toque	VERB	5	advcl
12	un	DET	13	det
13	rival	NOUN	11	nsubj
14	u	CCONJ	15	cc
15	otro	PRON	13	conj
16	,	PUNCT	18	punct
17	porque	SCONJ	18	mark
18	tenemos	VERB	4	advcl
19	el	DET	20	det
20	caso	NOUN	18	obj
21	del	ADP	22	case
22	Tau	PROPN	20	nmod
23	la	DET	25	det
24	pasada	ADJ	25	amod
25	campaña	NOUN	20	appos
26	"	PUNCT	4	punct
27	,	PUNCT	4	punct
28	explicó	VERB	0	root
29	.	PUNCT	28	punct