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:
Hace dos semanas, el escritor peruano Mario Vargas Llosa comentó en México que Vicente Fox representa la única alternativa de oposición para poner fin a 71 años del PRI en el poder.
Postion	Tokenization
1	Hace
2	dos
3	semanas
4	,
5	el
6	escritor
7	peruano
8	Mario
9	Vargas
10	Llosa
11	comentó
12	en
13	México
14	que
15	Vicente
16	Fox
17	representa
18	la
19	única
20	alternativa
21	de
22	oposición
23	para
24	poner
25	fin
26	a
27	71
28	años
29	del
30	PRI
31	en
32	el
33	poder
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Hace	VERB	11	advcl
2	dos	NUM	3	nummod
3	semanas	NOUN	1	obj
4	,	PUNCT	3	punct
5	el	DET	6	det
6	escritor	NOUN	11	nsubj
7	peruano	ADJ	6	amod
8	Mario	PROPN	6	appos
9	Vargas	PROPN	8	flat
10	Llosa	PROPN	8	flat
11	comentó	VERB	0	root
12	en	ADP	13	case
13	México	PROPN	11	obl
14	que	SCONJ	17	mark
15	Vicente	PROPN	17	nsubj
16	Fox	PROPN	15	flat
17	representa	VERB	11	ccomp
18	la	DET	20	det
19	única	ADJ	20	amod
20	alternativa	NOUN	17	obj
21	de	ADP	22	case
22	oposición	NOUN	20	nmod
23	para	ADP	24	mark
24	poner	VERB	20	acl
25	fin	NOUN	24	compound
26	a	ADP	28	case
27	71	NUM	28	nummod
28	años	NOUN	24	obj
29	del	ADP	30	case
30	PRI	PROPN	28	nmod
31	en	ADP	33	case
32	el	DET	33	det
33	poder	NOUN	28	nmod
34	.	PUNCT	11	punct