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:
Fuentes de la unión comarcal de CCOO explicaron a EFE que el fallecido estaba empleado en una subcontrata que efectuaba obras en el inmueble, que consta de cuatro plantas.
Postion	Tokenization
1	Fuentes
2	de
3	la
4	unión
5	comarcal
6	de
7	CCOO
8	explicaron
9	a
10	EFE
11	que
12	el
13	fallecido
14	estaba
15	empleado
16	en
17	una
18	subcontrata
19	que
20	efectuaba
21	obras
22	en
23	el
24	inmueble
25	,
26	que
27	consta
28	de
29	cuatro
30	plantas
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Fuentes	NOUN	8	nsubj
2	de	ADP	4	case
3	la	DET	4	det
4	unión	NOUN	1	nmod
5	comarcal	ADJ	4	amod
6	de	ADP	7	case
7	CCOO	PROPN	4	nmod
8	explicaron	VERB	0	root
9	a	ADP	10	case
10	EFE	PROPN	8	iobj
11	que	SCONJ	15	mark
12	el	DET	13	det
13	fallecido	ADJ	15	nsubj
14	estaba	AUX	15	aux
15	empleado	VERB	8	ccomp
16	en	ADP	18	case
17	una	DET	18	det
18	subcontrata	NOUN	15	obl
19	que	PRON	20	nsubj
20	efectuaba	VERB	18	acl
21	obras	NOUN	20	obj
22	en	ADP	24	case
23	el	DET	24	det
24	inmueble	NOUN	21	nmod
25	,	PUNCT	27	punct
26	que	PRON	27	nsubj
27	consta	VERB	24	acl
28	de	ADP	30	case
29	cuatro	NUM	30	nummod
30	plantas	NOUN	27	obj
31	.	PUNCT	8	punct