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:
La encuesta de la cadena ABC dio un empate con un 41 por ciento a favor de cada candidato y un 14 por ciento señaló que había habido un empate.
Postion	Tokenization
1	La
2	encuesta
3	de
4	la
5	cadena
6	ABC
7	dio
8	un
9	empate
10	con
11	un
12	41
13	por
14	ciento
15	a
16	favor
17	de
18	cada
19	candidato
20	y
21	un
22	14
23	por
24	ciento
25	señaló
26	que
27	había
28	habido
29	un
30	empate
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	encuesta	NOUN	7	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	cadena	NOUN	2	nmod
6	ABC	PROPN	5	appos
7	dio	VERB	0	root
8	un	DET	9	det
9	empate	NOUN	7	obj
10	con	ADP	12	case
11	un	DET	12	det
12	41	NUM	9	nummod
13	por	ADP	14	case
14	ciento	NUM	12	compound
15	a	ADP	19	case
16	favor	NOUN	15	fixed
17	de	ADP	15	fixed
18	cada	DET	19	det
19	candidato	NOUN	12	nmod
20	y	CCONJ	25	cc
21	un	DET	22	det
22	14	NUM	25	nsubj
23	por	ADP	24	case
24	ciento	NUM	22	compound
25	señaló	VERB	7	conj
26	que	SCONJ	28	mark
27	había	AUX	25	aux
28	habido	AUX	25	ccomp
29	un	DET	30	det
30	empate	NOUN	28	obj
31	.	PUNCT	7	punct