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:
La principal ventaja de la Viagra frente al tratamiento con prostaglandina es que, para aplicar este último método, se precisa de un pinchazo en el pene.
Postion	Tokenization
1	La
2	principal
3	ventaja
4	de
5	la
6	Viagra
7	frente
8	al
9	tratamiento
10	con
11	prostaglandina
12	es
13	que
14	,
15	para
16	aplicar
17	este
18	último
19	método
20	,
21	se
22	precisa
23	de
24	un
25	pinchazo
26	en
27	el
28	pene
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	principal	ADJ	3	amod
3	ventaja	NOUN	12	nsubj
4	de	ADP	6	case
5	la	DET	6	det
6	Viagra	PROPN	3	nmod
7	frente	ADV	3	advmod
8	al	ADP	9	case
9	tratamiento	NOUN	7	obl
10	con	ADP	11	case
11	prostaglandina	NOUN	9	nmod
12	es	AUX	0	root
13	que	SCONJ	22	mark
14	,	PUNCT	16	punct
15	para	ADP	16	mark
16	aplicar	VERB	22	advcl
17	este	DET	19	det
18	último	ADJ	19	amod
19	método	NOUN	16	obj
20	,	PUNCT	16	punct
21	se	PRON	22	expl:impers
22	precisa	VERB	12	ccomp
23	de	ADP	25	case
24	un	DET	25	det
25	pinchazo	NOUN	22	obl
26	en	ADP	28	case
27	el	DET	28	det
28	pene	NOUN	25	nmod
29	.	PUNCT	12	punct