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:
El 60% de los encuestados responsabiliza al Gobierno de la inestabilidad económica y el 59% opina que Cardoso "engañó a sus electores" al afirmar que mantendría la estabilidad del real.
Postion	Tokenization
1	El
2	60%
3	de
4	los
5	encuestados
6	responsabiliza
7	al
8	Gobierno
9	de
10	la
11	inestabilidad
12	económica
13	y
14	el
15	59%
16	opina
17	que
18	Cardoso
19	"
20	engañó
21	a
22	sus
23	electores
24	"
25	al
26	afirmar
27	que
28	mantendría
29	la
30	estabilidad
31	del
32	real
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	60%	SYM	6	nsubj
3	de	ADP	5	case
4	los	DET	5	det
5	encuestados	NOUN	2	nmod
6	responsabiliza	VERB	0	root
7	al	ADP	8	case
8	Gobierno	PROPN	6	obj
9	de	ADP	11	case
10	la	DET	11	det
11	inestabilidad	NOUN	6	obj
12	económica	ADJ	11	amod
13	y	CCONJ	16	cc
14	el	DET	15	det
15	59%	SYM	16	nsubj
16	opina	VERB	6	conj
17	que	SCONJ	20	mark
18	Cardoso	PROPN	20	nsubj
19	"	PUNCT	20	punct
20	engañó	VERB	16	ccomp
21	a	ADP	23	case
22	sus	DET	23	det
23	electores	NOUN	20	obj
24	"	PUNCT	20	punct
25	al	ADP	26	mark
26	afirmar	VERB	20	advcl
27	que	SCONJ	28	mark
28	mantendría	VERB	26	ccomp
29	la	DET	30	det
30	estabilidad	NOUN	28	obj
31	del	ADP	32	case
32	real	NOUN	30	nmod
33	.	PUNCT	6	punct