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:
Fui educado bajo el peso de una lóbrega biblioteca de vidas ejemplares, entre las cuales brillaba la biografía de un santo que se ganaba el cielo escayolando las patitas quebradas de los gorriones que aterrizaban en su ventana, en vez de darles una vuelta en la sartén como Dios manda.
Postion	Tokenization
1	Fui
2	educado
3	bajo
4	el
5	peso
6	de
7	una
8	lóbrega
9	biblioteca
10	de
11	vidas
12	ejemplares
13	,
14	entre
15	las
16	cuales
17	brillaba
18	la
19	biografía
20	de
21	un
22	santo
23	que
24	se
25	ganaba
26	el
27	cielo
28	escayolando
29	las
30	patitas
31	quebradas
32	de
33	los
34	gorriones
35	que
36	aterrizaban
37	en
38	su
39	ventana
40	,
41	en
42	vez
43	de
44	darles
45	dar
46	les
47	una
48	vuelta
49	en
50	la
51	sartén
52	como
53	Dios
54	manda
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Fui	AUX	2	aux
2	educado	VERB	0	root
3	bajo	ADP	5	case
4	el	DET	5	det
5	peso	NOUN	2	obl
6	de	ADP	9	case
7	una	DET	9	det
8	lóbrega	ADJ	9	amod
9	biblioteca	NOUN	5	nmod
10	de	ADP	11	case
11	vidas	NOUN	9	nmod
12	ejemplares	ADJ	11	amod
13	,	PUNCT	17	punct
14	entre	ADP	16	case
15	las	DET	16	det
16	cuales	PRON	17	obl
17	brillaba	VERB	11	acl
18	la	DET	19	det
19	biografía	NOUN	17	nsubj
20	de	ADP	22	case
21	un	DET	22	det
22	santo	NOUN	19	nmod
23	que	PRON	25	nsubj
24	se	PRON	25	iobj
25	ganaba	VERB	22	acl
26	el	DET	27	det
27	cielo	NOUN	25	obj
28	escayolando	VERB	25	advcl
29	las	DET	30	det
30	patitas	NOUN	28	obj
31	quebradas	ADJ	30	amod
32	de	ADP	34	case
33	los	DET	34	det
34	gorriones	NOUN	30	nmod
35	que	PRON	36	nsubj
36	aterrizaban	VERB	34	acl
37	en	ADP	39	case
38	su	DET	39	det
39	ventana	NOUN	36	obl
40	,	PUNCT	44	punct
41	en	ADP	44	mark
42	vez	NOUN	41	fixed
43	de	ADP	41	fixed
44	darles	_	None	_
45	dar	VERB	25	advcl
46	les	PRON	44	obj
47	una	DET	47	det
48	vuelta	NOUN	44	obj
49	en	ADP	50	case
50	la	DET	50	det
51	sartén	NOUN	44	obl
52	como	SCONJ	44	advmod
53	Dios	NOUN	51	fixed
54	manda	NOUN	51	fixed
55	.	PUNCT	2	punct