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 25 de abril pasado, los seis candidatos a la presidencia participaron en un debate televisivo a nivel nacional que, según las encuestas de opinión, fue ganado por Fox.
Postion	Tokenization
1	El
2	25
3	de
4	abril
5	pasado
6	,
7	los
8	seis
9	candidatos
10	a
11	la
12	presidencia
13	participaron
14	en
15	un
16	debate
17	televisivo
18	a
19	nivel
20	nacional
21	que
22	,
23	según
24	las
25	encuestas
26	de
27	opinión
28	,
29	fue
30	ganado
31	por
32	Fox
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	25	NUM	13	obl
3	de	ADP	4	case
4	abril	NOUN	2	compound
5	pasado	NOUN	2	compound
6	,	PUNCT	2	punct
7	los	DET	9	det
8	seis	NUM	7	nummod
9	candidatos	NOUN	13	nsubj
10	a	ADP	12	case
11	la	DET	12	det
12	presidencia	NOUN	9	nmod
13	participaron	VERB	0	root
14	en	ADP	16	case
15	un	DET	16	det
16	debate	NOUN	13	obj
17	televisivo	ADJ	16	amod
18	a	ADP	19	case
19	nivel	NOUN	16	nmod
20	nacional	ADJ	19	amod
21	que	PRON	30	nsubj
22	,	PUNCT	25	punct
23	según	ADP	25	case
24	las	DET	25	det
25	encuestas	NOUN	30	obl
26	de	ADP	27	case
27	opinión	NOUN	25	nmod
28	,	PUNCT	25	punct
29	fue	AUX	30	aux
30	ganado	VERB	16	acl
31	por	ADP	32	case
32	Fox	PROPN	30	obj
33	.	PUNCT	13	punct