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 oposición aseguran que numerosos obreros de diferentes fábricas y empresas, así como en el centro médico y en algunos sectores de la administración, se han declarado en paro.
Postion	Tokenization
1	Fuentes
2	de
3	la
4	oposición
5	aseguran
6	que
7	numerosos
8	obreros
9	de
10	diferentes
11	fábricas
12	y
13	empresas
14	,
15	así
16	como
17	en
18	el
19	centro
20	médico
21	y
22	en
23	algunos
24	sectores
25	de
26	la
27	administración
28	,
29	se
30	han
31	declarado
32	en
33	paro
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Fuentes	NOUN	5	nsubj
2	de	ADP	4	case
3	la	DET	4	det
4	oposición	NOUN	1	nmod
5	aseguran	VERB	0	root
6	que	SCONJ	31	mark
7	numerosos	ADJ	8	amod
8	obreros	NOUN	31	nsubj
9	de	ADP	11	case
10	diferentes	DET	11	det
11	fábricas	NOUN	8	nmod
12	y	CCONJ	13	cc
13	empresas	NOUN	11	conj
14	,	PUNCT	19	punct
15	así	ADV	19	cc
16	como	SCONJ	15	fixed
17	en	ADP	19	case
18	el	DET	19	det
19	centro	NOUN	11	conj
20	médico	ADJ	19	amod
21	y	CCONJ	24	cc
22	en	ADP	24	case
23	algunos	DET	24	det
24	sectores	NOUN	19	conj
25	de	ADP	27	case
26	la	DET	27	det
27	administración	NOUN	24	nmod
28	,	PUNCT	19	punct
29	se	PRON	31	iobj
30	han	AUX	31	aux
31	declarado	VERB	5	ccomp
32	en	ADP	33	case
33	paro	NOUN	31	obj
34	.	PUNCT	5	punct