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:
Mientras CCOO sostiene que el paro fue seguido por el 80% de la plantilla, UGT - - que no apoya la protesta - - redujo la participación al 30%.
Postion	Tokenization
1	Mientras
2	CCOO
3	sostiene
4	que
5	el
6	paro
7	fue
8	seguido
9	por
10	el
11	80%
12	de
13	la
14	plantilla
15	,
16	UGT
17	-
18	-
19	que
20	no
21	apoya
22	la
23	protesta
24	-
25	-
26	redujo
27	la
28	participación
29	al
30	30%
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Mientras	SCONJ	3	mark
2	CCOO	PROPN	3	nsubj
3	sostiene	VERB	26	advcl
4	que	SCONJ	8	mark
5	el	DET	6	det
6	paro	NOUN	8	nsubj
7	fue	AUX	8	aux
8	seguido	VERB	3	ccomp
9	por	ADP	11	case
10	el	DET	11	det
11	80%	SYM	8	obj
12	de	ADP	14	case
13	la	DET	14	det
14	plantilla	NOUN	11	nmod
15	,	PUNCT	3	punct
16	UGT	PROPN	26	nsubj
17	-	PUNCT	21	punct
18	-	PUNCT	21	punct
19	que	PRON	21	nsubj
20	no	ADV	21	advmod
21	apoya	VERB	16	acl
22	la	DET	23	det
23	protesta	NOUN	21	obj
24	-	PUNCT	21	punct
25	-	PUNCT	21	punct
26	redujo	VERB	0	root
27	la	DET	28	det
28	participación	NOUN	26	obj
29	al	ADP	30	case
30	30%	SYM	26	obl
31	.	PUNCT	26	punct