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:
Los responsables de la campaña, sin embargo, pedían que el recuerdo de la violencia no empañara el trasfondo y llamaban a manifestarse en Génova para la reunión del G-8.
Postion	Tokenization
1	Los
2	responsables
3	de
4	la
5	campaña
6	,
7	sin
8	embargo
9	,
10	pedían
11	que
12	el
13	recuerdo
14	de
15	la
16	violencia
17	no
18	empañara
19	el
20	trasfondo
21	y
22	llamaban
23	a
24	manifestarse
25	manifestar
26	se
27	en
28	Génova
29	para
30	la
31	reunión
32	del
33	G-8
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	responsables	NOUN	10	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	campaña	NOUN	2	nmod
6	,	PUNCT	7	punct
7	sin	ADP	10	advmod
8	embargo	NOUN	7	fixed
9	,	PUNCT	7	punct
10	pedían	VERB	0	root
11	que	SCONJ	18	mark
12	el	DET	13	det
13	recuerdo	NOUN	18	nsubj
14	de	ADP	16	case
15	la	DET	16	det
16	violencia	NOUN	13	nmod
17	no	ADV	18	advmod
18	empañara	VERB	10	ccomp
19	el	DET	20	det
20	trasfondo	NOUN	18	obj
21	y	CCONJ	22	cc
22	llamaban	VERB	10	conj
23	a	ADP	24	mark
24	manifestarse	_	None	_
25	manifestar	VERB	22	xcomp
26	se	PRON	24	expl:pv
27	en	ADP	27	case
28	Génova	PROPN	24	obl
29	para	ADP	30	case
30	la	DET	30	det
31	reunión	NOUN	24	obl
32	del	ADP	32	case
33	G-8	PROPN	30	nmod
34	.	PUNCT	10	punct