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:
Es un pueblo con casi un 80 % de parados con experiencia de lucha sindical y están orgullosos de que se les conozca en España por su tenacidad y su pacifismo.
Postion	Tokenization
1	Es
2	un
3	pueblo
4	con
5	casi
6	un
7	80
8	%
9	de
10	parados
11	con
12	experiencia
13	de
14	lucha
15	sindical
16	y
17	están
18	orgullosos
19	de
20	que
21	se
22	les
23	conozca
24	en
25	España
26	por
27	su
28	tenacidad
29	y
30	su
31	pacifismo
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Es	AUX	3	cop
2	un	DET	3	det
3	pueblo	NOUN	0	root
4	con	ADP	7	case
5	casi	ADV	7	advmod
6	un	DET	7	det
7	80	NUM	3	nmod
8	%	SYM	7	nmod
9	de	ADP	10	case
10	parados	NOUN	7	nmod
11	con	ADP	12	case
12	experiencia	NOUN	10	nmod
13	de	ADP	14	case
14	lucha	NOUN	12	nmod
15	sindical	ADJ	14	amod
16	y	CCONJ	18	cc
17	están	AUX	18	cop
18	orgullosos	ADJ	3	conj
19	de	ADP	23	mark
20	que	SCONJ	23	mark
21	se	PRON	23	expl:impers
22	les	PRON	23	obj
23	conozca	VERB	18	acl
24	en	ADP	25	case
25	España	PROPN	23	obl
26	por	ADP	28	case
27	su	DET	28	det
28	tenacidad	NOUN	23	obl
29	y	CCONJ	31	cc
30	su	DET	31	det
31	pacifismo	NOUN	28	conj
32	.	PUNCT	3	punct