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:
En ese documento, Bruselas considera que la opción nuclear contribuye a la reducción de emisiones de gases de efecto invernadero y garantiza el suministro energético de la Unión.
Postion	Tokenization
1	En
2	ese
3	documento
4	,
5	Bruselas
6	considera
7	que
8	la
9	opción
10	nuclear
11	contribuye
12	a
13	la
14	reducción
15	de
16	emisiones
17	de
18	gases
19	de
20	efecto
21	invernadero
22	y
23	garantiza
24	el
25	suministro
26	energético
27	de
28	la
29	Unión
30	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	ese	DET	3	det
3	documento	NOUN	6	obl
4	,	PUNCT	3	punct
5	Bruselas	PROPN	6	nsubj
6	considera	VERB	0	root
7	que	SCONJ	11	mark
8	la	DET	9	det
9	opción	NOUN	11	nsubj
10	nuclear	ADJ	9	amod
11	contribuye	VERB	6	ccomp
12	a	ADP	14	case
13	la	DET	14	det
14	reducción	NOUN	11	obj
15	de	ADP	16	case
16	emisiones	NOUN	14	nmod
17	de	ADP	18	case
18	gases	NOUN	16	nmod
19	de	ADP	20	case
20	efecto	NOUN	18	nmod
21	invernadero	NOUN	20	nmod
22	y	CCONJ	23	cc
23	garantiza	VERB	6	conj
24	el	DET	25	det
25	suministro	NOUN	23	obj
26	energético	ADJ	25	amod
27	de	ADP	29	case
28	la	DET	29	det
29	Unión	PROPN	25	nmod
30	.	PUNCT	6	punct