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:
Pero como a Antonia le repugnaba un poco dejar las sartenes aceitosas, de vez en cuando se permitía una brizna de rebeldía fraternal y las frotaba y refrotaba bien con detergente hasta hacer saltar las ronchas de frituras.
Postion	Tokenization
1	Pero
2	como
3	a
4	Antonia
5	le
6	repugnaba
7	un
8	poco
9	dejar
10	las
11	sartenes
12	aceitosas
13	,
14	de
15	vez
16	en
17	cuando
18	se
19	permitía
20	una
21	brizna
22	de
23	rebeldía
24	fraternal
25	y
26	las
27	frotaba
28	y
29	refrotaba
30	bien
31	con
32	detergente
33	hasta
34	hacer
35	saltar
36	las
37	ronchas
38	de
39	frituras
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	19	advmod
2	como	SCONJ	6	mark
3	a	ADP	4	case
4	Antonia	PROPN	6	obj
5	le	PRON	6	obj
6	repugnaba	VERB	19	advcl
7	un	DET	6	advmod
8	poco	ADV	7	fixed
9	dejar	VERB	6	csubj
10	las	DET	11	det
11	sartenes	NOUN	9	obj
12	aceitosas	ADJ	11	amod
13	,	PUNCT	6	punct
14	de	ADP	19	advmod
15	vez	NOUN	14	fixed
16	en	ADP	14	fixed
17	cuando	ADV	14	fixed
18	se	PRON	19	iobj
19	permitía	VERB	0	root
20	una	DET	21	det
21	brizna	NOUN	19	obj
22	de	ADP	23	case
23	rebeldía	NOUN	21	nmod
24	fraternal	ADJ	23	amod
25	y	CCONJ	27	cc
26	las	PRON	27	obj
27	frotaba	VERB	19	conj
28	y	CCONJ	29	cc
29	refrotaba	VERB	27	conj
30	bien	ADV	27	advmod
31	con	ADP	32	case
32	detergente	NOUN	27	obl
33	hasta	ADP	34	mark
34	hacer	VERB	27	advcl
35	saltar	VERB	34	xcomp
36	las	DET	37	det
37	ronchas	NOUN	34	obj
38	de	ADP	39	case
39	frituras	NOUN	37	nmod
40	.	PUNCT	19	punct