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 58% de los moscovitas consultados por Radio Eco de Moscú ha recibido favorablemente la dimisión del jefe del Estado, mientras que el 42% manifestó una opinión negativa.
Postion	Tokenization
1	El
2	58%
3	de
4	los
5	moscovitas
6	consultados
7	por
8	Radio
9	Eco
10	de
11	Moscú
12	ha
13	recibido
14	favorablemente
15	la
16	dimisión
17	del
18	jefe
19	del
20	Estado
21	,
22	mientras
23	que
24	el
25	42%
26	manifestó
27	una
28	opinión
29	negativa
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	58%	SYM	13	nsubj
3	de	ADP	5	case
4	los	DET	5	det
5	moscovitas	NOUN	2	nmod
6	consultados	ADJ	5	amod
7	por	ADP	8	case
8	Radio	PROPN	6	obj
9	Eco	PROPN	8	flat
10	de	ADP	11	case
11	Moscú	PROPN	8	flat
12	ha	AUX	13	aux
13	recibido	VERB	22	parataxis
14	favorablemente	ADV	13	advmod
15	la	DET	16	det
16	dimisión	NOUN	13	obj
17	del	ADP	18	case
18	jefe	NOUN	16	nmod
19	del	ADP	20	case
20	Estado	PROPN	18	nmod
21	,	PUNCT	22	punct
22	mientras	CCONJ	0	root
23	que	SCONJ	22	fixed
24	el	DET	25	det
25	42%	SYM	26	nsubj
26	manifestó	VERB	22	parataxis
27	una	DET	28	det
28	opinión	NOUN	26	obj
29	negativa	ADJ	28	amod
30	.	PUNCT	22	punct