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:
Este también lo ganó Fox, según la mayoría de las encuestas difundidas por empresas consultoras profesionales, aunque algunos medios de prensa no ocultaron su afecto a los diferentes candidatos y los declararon ganadores por igual.
Postion	Tokenization
1	Este
2	también
3	lo
4	ganó
5	Fox
6	,
7	según
8	la
9	mayoría
10	de
11	las
12	encuestas
13	difundidas
14	por
15	empresas
16	consultoras
17	profesionales
18	,
19	aunque
20	algunos
21	medios
22	de
23	prensa
24	no
25	ocultaron
26	su
27	afecto
28	a
29	los
30	diferentes
31	candidatos
32	y
33	los
34	declararon
35	ganadores
36	por
37	igual
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Este	PRON	4	iobj
2	también	ADV	4	advmod
3	lo	PRON	4	obj
4	ganó	VERB	0	root
5	Fox	PROPN	4	nsubj
6	,	PUNCT	9	punct
7	según	ADP	9	case
8	la	DET	9	det
9	mayoría	NOUN	4	obl
10	de	ADP	12	case
11	las	DET	12	det
12	encuestas	NOUN	9	nmod
13	difundidas	ADJ	12	amod
14	por	ADP	15	case
15	empresas	NOUN	13	obj
16	consultoras	ADJ	15	amod
17	profesionales	ADJ	15	amod
18	,	PUNCT	9	punct
19	aunque	SCONJ	25	mark
20	algunos	DET	21	det
21	medios	NOUN	25	nsubj
22	de	ADP	23	case
23	prensa	NOUN	21	nmod
24	no	ADV	25	advmod
25	ocultaron	VERB	4	advcl
26	su	DET	27	det
27	afecto	NOUN	25	obj
28	a	ADP	31	case
29	los	DET	31	det
30	diferentes	ADJ	31	amod
31	candidatos	NOUN	25	obj
32	y	CCONJ	34	cc
33	los	PRON	34	obj
34	declararon	VERB	25	conj
35	ganadores	ADJ	34	iobj
36	por	ADP	34	advmod
37	igual	ADJ	36	fixed
38	.	PUNCT	4	punct