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:
A éstas se las rifaban los chicos porque eran altas, rubias como la cerveza y no tenían tantos prejuicios como las de Cáceres, Ávila o La Coruña.
Postion	Tokenization
1	A
2	éstas
3	se
4	las
5	rifaban
6	los
7	chicos
8	porque
9	eran
10	altas
11	,
12	rubias
13	como
14	la
15	cerveza
16	y
17	no
18	tenían
19	tantos
20	prejuicios
21	como
22	las
23	de
24	Cáceres
25	,
26	Ávila
27	o
28	La
29	Coruña
30	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	2	case
2	éstas	PRON	5	iobj
3	se	PRON	5	iobj
4	las	PRON	5	obj
5	rifaban	VERB	0	root
6	los	DET	7	det
7	chicos	NOUN	5	nsubj
8	porque	SCONJ	10	mark
9	eran	AUX	10	cop
10	altas	ADJ	5	advcl
11	,	PUNCT	10	punct
12	rubias	ADJ	10	amod
13	como	SCONJ	15	mark
14	la	DET	15	det
15	cerveza	NOUN	12	nmod
16	y	CCONJ	18	cc
17	no	ADV	18	advmod
18	tenían	VERB	10	conj
19	tantos	DET	20	det
20	prejuicios	NOUN	18	obj
21	como	SCONJ	22	mark
22	las	DET	20	det
23	de	ADP	22	case
24	Cáceres	PROPN	22	nmod
25	,	PUNCT	26	punct
26	Ávila	PROPN	24	conj
27	o	CCONJ	29	cc
28	La	DET	29	det
29	Coruña	PROPN	24	conj
30	.	PUNCT	5	punct