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:
Vivo cerca de un parque lleno de palomas, pero en mi calle bordeada de frondosos árboles no hay sino tórtolas que pasan el día arrullándose y amándose.
Postion	Tokenization
1	Vivo
2	cerca
3	de
4	un
5	parque
6	lleno
7	de
8	palomas
9	,
10	pero
11	en
12	mi
13	calle
14	bordeada
15	de
16	frondosos
17	árboles
18	no
19	hay
20	sino
21	tórtolas
22	que
23	pasan
24	el
25	día
26	arrullándose
27	arrullando
28	se
29	y
30	amándose
31	amando
32	se
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Vivo	VERB	0	root
2	cerca	ADV	1	advmod
3	de	ADP	5	case
4	un	DET	5	det
5	parque	NOUN	2	obl
6	lleno	ADJ	5	amod
7	de	ADP	8	case
8	palomas	NOUN	6	nmod
9	,	PUNCT	19	punct
10	pero	CCONJ	19	cc
11	en	ADP	13	case
12	mi	DET	13	det
13	calle	NOUN	19	obl
14	bordeada	ADJ	13	amod
15	de	ADP	17	case
16	frondosos	ADJ	17	amod
17	árboles	NOUN	14	obj
18	no	ADV	19	advmod
19	hay	AUX	1	conj
20	sino	CCONJ	19	advmod
21	tórtolas	NOUN	19	obj
22	que	PRON	23	nsubj
23	pasan	VERB	21	acl
24	el	DET	25	det
25	día	NOUN	23	obj
26	arrullándose	_	None	_
27	arrullando	VERB	23	advcl
28	se	PRON	26	obj
29	y	CCONJ	29	cc
30	amándose	_	None	_
31	amando	VERB	26	conj
32	se	PRON	29	obj
33	.	PUNCT	1	punct