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:
El secretario general de CCOO, José María Fidalgo, opinó hoy en Calviá (Mallorca) que el gasto farmacéutico "está parasitando" al gasto sanitario y evitando que se liberen recursos para acabar con las listas de espera en los centros hospitalarios.
Postion	Tokenization
1	El
2	secretario
3	general
4	de
5	CCOO
6	,
7	José
8	María
9	Fidalgo
10	,
11	opinó
12	hoy
13	en
14	Calviá
15	(
16	Mallorca
17	)
18	que
19	el
20	gasto
21	farmacéutico
22	"
23	está
24	parasitando
25	"
26	al
27	gasto
28	sanitario
29	y
30	evitando
31	que
32	se
33	liberen
34	recursos
35	para
36	acabar
37	con
38	las
39	listas
40	de
41	espera
42	en
43	los
44	centros
45	hospitalarios
46	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	secretario	NOUN	11	nsubj
3	general	ADJ	2	amod
4	de	ADP	5	case
5	CCOO	PROPN	2	nmod
6	,	PUNCT	7	punct
7	José	PROPN	2	appos
8	María	PROPN	7	flat
9	Fidalgo	PROPN	7	flat
10	,	PUNCT	7	punct
11	opinó	VERB	0	root
12	hoy	ADV	11	advmod
13	en	ADP	14	case
14	Calviá	PROPN	11	obl
15	(	PUNCT	16	punct
16	Mallorca	PROPN	14	flat
17	)	PUNCT	16	punct
18	que	SCONJ	24	mark
19	el	DET	20	det
20	gasto	NOUN	24	nsubj
21	farmacéutico	ADJ	20	amod
22	"	PUNCT	24	punct
23	está	AUX	24	aux
24	parasitando	VERB	11	ccomp
25	"	PUNCT	27	punct
26	al	ADP	27	case
27	gasto	NOUN	24	obj
28	sanitario	ADJ	27	amod
29	y	CCONJ	30	cc
30	evitando	VERB	24	conj
31	que	SCONJ	33	mark
32	se	PRON	33	expl:pass
33	liberen	VERB	30	ccomp
34	recursos	NOUN	33	nsubj
35	para	ADP	36	mark
36	acabar	VERB	34	acl
37	con	ADP	39	case
38	las	DET	39	det
39	listas	NOUN	36	obj
40	de	ADP	41	case
41	espera	NOUN	39	nmod
42	en	ADP	44	case
43	los	DET	44	det
44	centros	NOUN	36	obl
45	hospitalarios	ADJ	44	amod
46	.	PUNCT	11	punct