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:
Cuentan los bribones de la ciudad que después de beber una botella de ginebra con Cayetana, el que la acompañaba, la insultó: - Tú sólo frecuentas banderilleros y bailaores maricas.
Postion	Tokenization
1	Cuentan
2	los
3	bribones
4	de
5	la
6	ciudad
7	que
8	después
9	de
10	beber
11	una
12	botella
13	de
14	ginebra
15	con
16	Cayetana
17	,
18	el
19	que
20	la
21	acompañaba
22	,
23	la
24	insultó
25	:
26	-
27	Tú
28	sólo
29	frecuentas
30	banderilleros
31	y
32	bailaores
33	maricas
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Cuentan	VERB	0	root
2	los	DET	3	det
3	bribones	NOUN	1	nsubj
4	de	ADP	6	case
5	la	DET	6	det
6	ciudad	NOUN	3	nmod
7	que	SCONJ	24	mark
8	después	ADV	24	advmod
9	de	ADP	10	mark
10	beber	VERB	8	advcl
11	una	DET	12	det
12	botella	NOUN	10	obj
13	de	ADP	14	case
14	ginebra	NOUN	12	nmod
15	con	ADP	16	case
16	Cayetana	PROPN	10	obl
17	,	PUNCT	8	punct
18	el	DET	21	det
19	que	PRON	21	nsubj
20	la	PRON	21	obj
21	acompañaba	VERB	24	csubj
22	,	PUNCT	21	punct
23	la	PRON	24	obj
24	insultó	VERB	1	ccomp
25	:	PUNCT	29	punct
26	-	PUNCT	29	punct
27	Tú	PRON	29	nsubj
28	sólo	ADV	29	advmod
29	frecuentas	VERB	24	advcl
30	banderilleros	NOUN	29	obj
31	y	CCONJ	32	cc
32	bailaores	NOUN	30	conj
33	maricas	ADJ	30	amod
34	.	PUNCT	1	punct