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:
Fidalgo, quien hoy asistió a la inauguración del séptimo congreso regional de CCOO, explicó que, de los más de cuatro billones de pesetas que el Erario público gastará este año en asistencia sanitaria, un tercio es para el gasto farmacéutico, un apartado que calificó de "altamente ineficiente".
Postion	Tokenization
1	Fidalgo
2	,
3	quien
4	hoy
5	asistió
6	a
7	la
8	inauguración
9	del
10	séptimo
11	congreso
12	regional
13	de
14	CCOO
15	,
16	explicó
17	que
18	,
19	de
20	los
21	más
22	de
23	cuatro
24	billones
25	de
26	pesetas
27	que
28	el
29	Erario
30	público
31	gastará
32	este
33	año
34	en
35	asistencia
36	sanitaria
37	,
38	un
39	tercio
40	es
41	para
42	el
43	gasto
44	farmacéutico
45	,
46	un
47	apartado
48	que
49	calificó
50	de
51	"
52	altamente
53	ineficiente
54	"
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Fidalgo	PROPN	16	nsubj
2	,	PUNCT	5	punct
3	quien	PRON	5	nsubj
4	hoy	ADV	5	advmod
5	asistió	VERB	1	acl
6	a	ADP	8	case
7	la	DET	8	det
8	inauguración	NOUN	5	obl
9	del	ADP	11	case
10	séptimo	ADJ	11	amod
11	congreso	NOUN	8	nmod
12	regional	ADJ	11	amod
13	de	ADP	14	case
14	CCOO	PROPN	11	nmod
15	,	PUNCT	5	punct
16	explicó	VERB	0	root
17	que	SCONJ	43	mark
18	,	PUNCT	24	punct
19	de	ADP	24	case
20	los	DET	24	det
21	más	ADV	20	advmod
22	de	ADP	21	fixed
23	cuatro	NUM	20	nummod
24	billones	NOUN	39	nmod
25	de	ADP	26	case
26	pesetas	NOUN	24	nmod
27	que	PRON	31	obj
28	el	DET	29	det
29	Erario	PROPN	31	nsubj
30	público	ADJ	29	amod
31	gastará	VERB	24	acl
32	este	DET	33	det
33	año	NOUN	31	obl
34	en	ADP	35	case
35	asistencia	NOUN	31	obl
36	sanitaria	ADJ	35	amod
37	,	PUNCT	24	punct
38	un	DET	39	det
39	tercio	NOUN	43	nsubj
40	es	AUX	43	cop
41	para	ADP	43	case
42	el	DET	43	det
43	gasto	NOUN	16	ccomp
44	farmacéutico	ADJ	43	amod
45	,	PUNCT	47	punct
46	un	DET	47	det
47	apartado	NOUN	43	appos
48	que	PRON	49	obj
49	calificó	VERB	47	acl
50	de	ADP	53	case
51	"	PUNCT	53	punct
52	altamente	ADV	53	advmod
53	ineficiente	ADJ	49	obj
54	"	PUNCT	53	punct
55	.	PUNCT	16	punct