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 mujerona zarandeaba a la víctima insultándole a grandes gritos: parecía estar fuera de sí, y de su boca soez sólo salían maldiciones llenas de rabia.
Postion	Tokenization
1	La
2	mujerona
3	zarandeaba
4	a
5	la
6	víctima
7	insultándole
8	insultando
9	le
10	a
11	grandes
12	gritos
13	:
14	parecía
15	estar
16	fuera
17	de
18	sí
19	,
20	y
21	de
22	su
23	boca
24	soez
25	sólo
26	salían
27	maldiciones
28	llenas
29	de
30	rabia
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	mujerona	NOUN	3	nsubj
3	zarandeaba	VERB	0	root
4	a	ADP	6	case
5	la	DET	6	det
6	víctima	NOUN	3	obj
7	insultándole	_	None	_
8	insultando	VERB	3	advcl
9	le	PRON	7	obj
10	a	ADP	11	case
11	grandes	ADJ	11	amod
12	gritos	NOUN	7	obl
13	:	PUNCT	13	punct
14	parecía	VERB	3	advcl
15	estar	AUX	15	cop
16	fuera	ADV	13	ccomp
17	de	ADP	17	case
18	sí	PRON	15	obl
19	,	PUNCT	25	punct
20	y	CCONJ	25	cc
21	de	ADP	22	case
22	su	DET	22	det
23	boca	NOUN	25	obl
24	soez	ADJ	22	amod
25	sólo	ADV	25	advmod
26	salían	VERB	13	conj
27	maldiciones	NOUN	25	nsubj
28	llenas	ADJ	26	amod
29	de	ADP	29	case
30	rabia	NOUN	27	nmod
31	.	PUNCT	3	punct