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:
Podrá sacar los tanques a las calles, pero tendrá que enfrentarse a más de 18 millones de peruanos ", mantuvo el líder del Partido" Perú Posible".
Postion	Tokenization
1	Podrá
2	sacar
3	los
4	tanques
5	a
6	las
7	calles
8	,
9	pero
10	tendrá
11	que
12	enfrentarse
13	enfrentar
14	se
15	a
16	más
17	de
18	18
19	millones
20	de
21	peruanos
22	"
23	,
24	mantuvo
25	el
26	líder
27	del
28	Partido
29	"
30	Perú
31	Posible
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Podrá	AUX	2	aux
2	sacar	VERB	23	ccomp
3	los	DET	4	det
4	tanques	NOUN	2	obj
5	a	ADP	7	case
6	las	DET	7	det
7	calles	NOUN	2	obl
8	,	PUNCT	10	punct
9	pero	CCONJ	10	cc
10	tendrá	VERB	2	conj
11	que	SCONJ	12	cc
12	enfrentarse	_	None	_
13	enfrentar	VERB	10	conj
14	se	PRON	12	expl:pv
15	a	ADP	18	case
16	más	ADV	18	advmod
17	de	ADP	15	fixed
18	18	NUM	15	nummod
19	millones	NOUN	12	obj
20	de	ADP	20	case
21	peruanos	NOUN	18	nmod
22	"	PUNCT	2	punct
23	,	PUNCT	2	punct
24	mantuvo	VERB	0	root
25	el	DET	25	det
26	líder	NOUN	23	nsubj
27	del	ADP	27	case
28	Partido	PROPN	25	nmod
29	"	PUNCT	27	punct
30	Perú	PROPN	27	flat
31	Posible	PROPN	29	flat
32	"	PUNCT	27	punct
33	.	PUNCT	23	punct