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:
Huerga insistió en que la protesta de los empleados de la limpieza "no pretende perjudicar a los usuarios", sino conseguir que se reconozcan los derechos de los trabajadores.
Postion	Tokenization
1	Huerga
2	insistió
3	en
4	que
5	la
6	protesta
7	de
8	los
9	empleados
10	de
11	la
12	limpieza
13	"
14	no
15	pretende
16	perjudicar
17	a
18	los
19	usuarios
20	"
21	,
22	sino
23	conseguir
24	que
25	se
26	reconozcan
27	los
28	derechos
29	de
30	los
31	trabajadores
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Huerga	PROPN	2	nsubj
2	insistió	VERB	0	root
3	en	ADP	15	mark
4	que	SCONJ	15	mark
5	la	DET	6	det
6	protesta	NOUN	15	nsubj
7	de	ADP	9	case
8	los	DET	9	det
9	empleados	NOUN	6	nmod
10	de	ADP	12	case
11	la	DET	12	det
12	limpieza	NOUN	9	nmod
13	"	PUNCT	15	punct
14	no	ADV	15	advmod
15	pretende	VERB	2	ccomp
16	perjudicar	VERB	15	xcomp
17	a	ADP	19	case
18	los	DET	19	det
19	usuarios	NOUN	16	obj
20	"	PUNCT	23	punct
21	,	PUNCT	23	punct
22	sino	CCONJ	23	cc
23	conseguir	VERB	16	conj
24	que	SCONJ	26	mark
25	se	PRON	26	expl:pass
26	reconozcan	VERB	23	ccomp
27	los	DET	28	det
28	derechos	NOUN	26	nsubj
29	de	ADP	31	case
30	los	DET	31	det
31	trabajadores	NOUN	28	nmod
32	.	PUNCT	2	punct