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:
Los animalistas españoles venimos denunciando el maltrato de los animales destinados al consumo desde hace años, pero las administraciones no nos toman en cuenta; al contrario, resultamos molestos.
Postion	Tokenization
1	Los
2	animalistas
3	españoles
4	venimos
5	denunciando
6	el
7	maltrato
8	de
9	los
10	animales
11	destinados
12	al
13	consumo
14	desde
15	hace
16	años
17	,
18	pero
19	las
20	administraciones
21	no
22	nos
23	toman
24	en
25	cuenta
26	;
27	al
28	contrario
29	,
30	resultamos
31	molestos
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	animalistas	NOUN	4	nsubj
3	españoles	ADJ	2	amod
4	venimos	VERB	0	root
5	denunciando	VERB	4	xcomp
6	el	DET	7	det
7	maltrato	NOUN	5	obj
8	de	ADP	10	case
9	los	DET	10	det
10	animales	NOUN	7	nmod
11	destinados	ADJ	10	amod
12	al	ADP	13	case
13	consumo	NOUN	11	obj
14	desde	ADP	15	mark
15	hace	VERB	5	advcl
16	años	NOUN	15	obj
17	,	PUNCT	23	punct
18	pero	CCONJ	23	cc
19	las	DET	20	det
20	administraciones	NOUN	23	nsubj
21	no	ADV	23	advmod
22	nos	PRON	23	obj
23	toman	VERB	5	conj
24	en	ADP	25	case
25	cuenta	NOUN	23	compound
26	;	PUNCT	23	punct
27	al	ADP	30	advmod
28	contrario	NOUN	27	fixed
29	,	PUNCT	27	punct
30	resultamos	VERB	23	advcl
31	molestos	ADJ	30	obj
32	.	PUNCT	4	punct