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:
Al contrario: es campechana y castiza como una ventera y ha conseguido huir de los cretinos de la jet o de los rancios representantes de la nobleza reaccionaria.
Postion	Tokenization
1	Al
2	contrario
3	:
4	es
5	campechana
6	y
7	castiza
8	como
9	una
10	ventera
11	y
12	ha
13	conseguido
14	huir
15	de
16	los
17	cretinos
18	de
19	la
20	jet
21	o
22	de
23	los
24	rancios
25	representantes
26	de
27	la
28	nobleza
29	reaccionaria
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	0	root
2	contrario	NOUN	1	fixed
3	:	PUNCT	5	punct
4	es	AUX	5	cop
5	campechana	ADJ	1	advcl
6	y	CCONJ	7	cc
7	castiza	ADJ	5	conj
8	como	SCONJ	10	mark
9	una	DET	10	det
10	ventera	NOUN	5	nmod
11	y	CCONJ	13	cc
12	ha	AUX	13	aux
13	conseguido	VERB	5	conj
14	huir	VERB	13	xcomp
15	de	ADP	17	case
16	los	DET	17	det
17	cretinos	NOUN	14	obj
18	de	ADP	20	case
19	la	DET	20	det
20	jet	NOUN	17	nmod
21	o	CCONJ	25	cc
22	de	ADP	25	case
23	los	DET	25	det
24	rancios	ADJ	25	amod
25	representantes	NOUN	17	conj
26	de	ADP	28	case
27	la	DET	28	det
28	nobleza	NOUN	25	nmod
29	reaccionaria	ADJ	28	amod
30	.	PUNCT	1	punct