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 JNE rechazó el pasado viernes una petición del partido Perú Posible para que la elección sea aplazada hasta el 18 de junio próximo, lo cual precipitó la retirada del candidato opositor, Alejandro Toledo.
Postion	Tokenization
1	El
2	JNE
3	rechazó
4	el
5	pasado
6	viernes
7	una
8	petición
9	del
10	partido
11	Perú
12	Posible
13	para
14	que
15	la
16	elección
17	sea
18	aplazada
19	hasta
20	el
21	18
22	de
23	junio
24	próximo
25	,
26	lo
27	cual
28	precipitó
29	la
30	retirada
31	del
32	candidato
33	opositor
34	,
35	Alejandro
36	Toledo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	JNE	PROPN	3	nsubj
3	rechazó	VERB	0	root
4	el	DET	6	det
5	pasado	ADJ	6	amod
6	viernes	NOUN	3	obl
7	una	DET	8	det
8	petición	NOUN	3	obj
9	del	ADP	10	case
10	partido	NOUN	8	nmod
11	Perú	PROPN	10	appos
12	Posible	PROPN	11	flat
13	para	ADP	18	mark
14	que	SCONJ	18	mark
15	la	DET	16	det
16	elección	NOUN	18	nsubj
17	sea	AUX	18	aux
18	aplazada	VERB	8	acl
19	hasta	ADP	21	case
20	el	DET	21	det
21	18	NUM	18	obl
22	de	ADP	23	case
23	junio	NOUN	21	compound
24	próximo	ADJ	21	amod
25	,	PUNCT	28	punct
26	lo	PRON	28	det
27	cual	PRON	28	nsubj
28	precipitó	VERB	3	advcl
29	la	DET	30	det
30	retirada	NOUN	28	obj
31	del	ADP	32	case
32	candidato	NOUN	30	nmod
33	opositor	NOUN	32	nmod
34	,	PUNCT	35	punct
35	Alejandro	PROPN	32	appos
36	Toledo	PROPN	35	flat
37	.	PUNCT	3	punct