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 el sondeo de la cadena de televisión CNN, un 46 por ciento de los encuestados indicó que Gore había ganado y un 44 por ciento se inclinó por Bush.
Postion	Tokenization
1	En
2	el
3	sondeo
4	de
5	la
6	cadena
7	de
8	televisión
9	CNN
10	,
11	un
12	46
13	por
14	ciento
15	de
16	los
17	encuestados
18	indicó
19	que
20	Gore
21	había
22	ganado
23	y
24	un
25	44
26	por
27	ciento
28	se
29	inclinó
30	por
31	Bush
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	sondeo	NOUN	18	obl
4	de	ADP	6	case
5	la	DET	6	det
6	cadena	NOUN	3	nmod
7	de	ADP	8	case
8	televisión	NOUN	6	nmod
9	CNN	PROPN	6	appos
10	,	PUNCT	3	punct
11	un	DET	12	det
12	46	NUM	18	nsubj
13	por	ADP	14	case
14	ciento	NUM	12	compound
15	de	ADP	17	case
16	los	DET	17	det
17	encuestados	NOUN	12	nmod
18	indicó	VERB	0	root
19	que	SCONJ	22	mark
20	Gore	PROPN	22	nsubj
21	había	AUX	22	aux
22	ganado	VERB	18	ccomp
23	y	CCONJ	29	cc
24	un	DET	25	det
25	44	NUM	29	nsubj
26	por	ADP	27	case
27	ciento	NUM	25	compound
28	se	PRON	29	expl:pv
29	inclinó	VERB	18	conj
30	por	ADP	31	case
31	Bush	PROPN	29	obj
32	.	PUNCT	18	punct