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:
Antes, no obstante, las urnas se habrán pronunciado el 13-J sobre las posibilidades de José Bono y de Rosa Díez para el mismo cargo.
Postion	Tokenization
1	Antes
2	,
3	no
4	obstante
5	,
6	las
7	urnas
8	se
9	habrán
10	pronunciado
11	el
12	13-J
13	sobre
14	las
15	posibilidades
16	de
17	José
18	Bono
19	y
20	de
21	Rosa
22	Díez
23	para
24	el
25	mismo
26	cargo
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Antes	ADV	10	advmod
2	,	PUNCT	3	punct
3	no	PART	10	advmod
4	obstante	NOUN	3	fixed
5	,	PUNCT	3	punct
6	las	DET	7	det
7	urnas	NOUN	10	nsubj
8	se	PRON	10	expl:pv
9	habrán	AUX	10	aux
10	pronunciado	VERB	0	root
11	el	DET	12	det
12	13-J	NUM	10	obl
13	sobre	ADP	15	case
14	las	DET	15	det
15	posibilidades	NOUN	10	obj
16	de	ADP	17	case
17	José	PROPN	15	nmod
18	Bono	PROPN	17	flat
19	y	CCONJ	21	cc
20	de	ADP	21	case
21	Rosa	PROPN	17	conj
22	Díez	PROPN	21	flat
23	para	ADP	26	case
24	el	DET	26	det
25	mismo	DET	24	det
26	cargo	NOUN	15	nmod
27	.	PUNCT	10	punct