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, señaló que no puede estar contento con las cifras del desempleo porque, aunque el número de parados se ha reducido en España en los últimos cuatro años, la tasa de paro sigue estando "muy por encima de la media europea".
Postion	Tokenization
1	El
2	secretario
3	general
4	de
5	CCOO
6	,
7	José
8	María
9	Fidalgo
10	,
11	señaló
12	que
13	no
14	puede
15	estar
16	contento
17	con
18	las
19	cifras
20	del
21	desempleo
22	porque
23	,
24	aunque
25	el
26	número
27	de
28	parados
29	se
30	ha
31	reducido
32	en
33	España
34	en
35	los
36	últimos
37	cuatro
38	años
39	,
40	la
41	tasa
42	de
43	paro
44	sigue
45	estando
46	"
47	muy
48	por
49	encima
50	de
51	la
52	media
53	europea
54	"
55	.
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	señaló	VERB	0	root
12	que	SCONJ	16	mark
13	no	ADV	16	advmod
14	puede	AUX	16	aux
15	estar	AUX	16	cop
16	contento	ADJ	11	xcomp
17	con	ADP	19	case
18	las	DET	19	det
19	cifras	NOUN	16	obl
20	del	ADP	21	case
21	desempleo	NOUN	19	nmod
22	porque	SCONJ	44	mark
23	,	PUNCT	31	punct
24	aunque	SCONJ	31	mark
25	el	DET	26	det
26	número	NOUN	31	nsubj
27	de	ADP	28	case
28	parados	NOUN	26	nmod
29	se	PRON	31	expl:pv
30	ha	AUX	31	aux
31	reducido	VERB	47	advcl
32	en	ADP	33	case
33	España	PROPN	31	obl
34	en	ADP	38	case
35	los	DET	38	det
36	últimos	ADJ	35	amod
37	cuatro	NUM	35	nummod
38	años	NOUN	31	obl
39	,	PUNCT	31	punct
40	la	DET	41	det
41	tasa	NOUN	44	nsubj
42	de	ADP	43	case
43	paro	NOUN	41	nmod
44	sigue	VERB	16	advcl
45	estando	AUX	47	cop
46	"	PUNCT	47	punct
47	muy	ADV	44	xcomp
48	por	ADP	47	case
49	encima	ADV	48	fixed
50	de	ADP	48	fixed
51	la	DET	52	det
52	media	NOUN	47	nmod
53	europea	ADJ	52	amod
54	"	PUNCT	44	punct
55	.	PUNCT	11	punct