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:
Es posible que usted consiga ganarse el cielo y ser motivo de ejemplo en las tertulias que sostienen los ángeles después del almuerzo en las nubes rosadas, sin haber visto nunca un bosnio de cerca.
Postion	Tokenization
1	Es
2	posible
3	que
4	usted
5	consiga
6	ganarse
7	ganar
8	se
9	el
10	cielo
11	y
12	ser
13	motivo
14	de
15	ejemplo
16	en
17	las
18	tertulias
19	que
20	sostienen
21	los
22	ángeles
23	después
24	del
25	almuerzo
26	en
27	las
28	nubes
29	rosadas
30	,
31	sin
32	haber
33	visto
34	nunca
35	un
36	bosnio
37	de
38	cerca
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Es	AUX	2	cop
2	posible	ADJ	0	root
3	que	SCONJ	5	mark
4	usted	PRON	5	nsubj
5	consiga	VERB	2	csubj
6	ganarse	_	None	_
7	ganar	VERB	5	xcomp
8	se	PRON	6	iobj
9	el	DET	9	det
10	cielo	NOUN	6	obj
11	y	CCONJ	12	cc
12	ser	AUX	12	cop
13	motivo	NOUN	6	conj
14	de	ADP	14	case
15	ejemplo	NOUN	12	nmod
16	en	ADP	17	case
17	las	DET	17	det
18	tertulias	NOUN	5	obl
19	que	PRON	19	obj
20	sostienen	VERB	17	acl
21	los	DET	21	det
22	ángeles	NOUN	19	nsubj
23	después	ADV	19	advmod
24	del	ADP	24	case
25	almuerzo	NOUN	22	obl
26	en	ADP	27	case
27	las	DET	27	det
28	nubes	NOUN	24	nmod
29	rosadas	ADJ	27	amod
30	,	PUNCT	32	punct
31	sin	ADP	32	mark
32	haber	AUX	32	aux
33	visto	VERB	5	advcl
34	nunca	ADV	32	advmod
35	un	DET	35	det
36	bosnio	NOUN	32	obj
37	de	ADP	37	case
38	cerca	ADV	32	advmod
39	.	PUNCT	2	punct