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 presidente de la patronal CEOE, José María Cuevas, dijo que el descenso del paro es "muy significativo e importante", aunque agregó que le hubiera gustado que bajara más, que el empleo es uno de los grandes objetivos de las empresas y de los sindicatos y que "estamos en el buen camino para cumplir el reto del pleno empleo".
Postion	Tokenization
1	El
2	presidente
3	de
4	la
5	patronal
6	CEOE
7	,
8	José
9	María
10	Cuevas
11	,
12	dijo
13	que
14	el
15	descenso
16	del
17	paro
18	es
19	"
20	muy
21	significativo
22	e
23	importante
24	"
25	,
26	aunque
27	agregó
28	que
29	le
30	hubiera
31	gustado
32	que
33	bajara
34	más
35	,
36	que
37	el
38	empleo
39	es
40	uno
41	de
42	los
43	grandes
44	objetivos
45	de
46	las
47	empresas
48	y
49	de
50	los
51	sindicatos
52	y
53	que
54	"
55	estamos
56	en
57	el
58	buen
59	camino
60	para
61	cumplir
62	el
63	reto
64	del
65	pleno
66	empleo
67	"
68	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	12	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	patronal	NOUN	2	nmod
6	CEOE	PROPN	5	appos
7	,	PUNCT	8	punct
8	José	PROPN	2	appos
9	María	PROPN	8	flat
10	Cuevas	PROPN	8	flat
11	,	PUNCT	8	punct
12	dijo	VERB	0	root
13	que	SCONJ	21	mark
14	el	DET	15	det
15	descenso	NOUN	21	nsubj
16	del	ADP	17	case
17	paro	NOUN	15	nmod
18	es	AUX	21	cop
19	"	PUNCT	21	punct
20	muy	ADV	21	advmod
21	significativo	ADJ	12	ccomp
22	e	CCONJ	23	cc
23	importante	ADJ	21	conj
24	"	PUNCT	21	punct
25	,	PUNCT	27	punct
26	aunque	SCONJ	27	mark
27	agregó	VERB	12	advcl
28	que	SCONJ	31	mark
29	le	PRON	31	obj
30	hubiera	AUX	31	aux
31	gustado	VERB	27	ccomp
32	que	SCONJ	33	mark
33	bajara	VERB	31	csubj
34	más	ADV	33	advmod
35	,	PUNCT	40	punct
36	que	SCONJ	40	mark
37	el	DET	38	det
38	empleo	NOUN	40	nsubj
39	es	AUX	40	cop
40	uno	PRON	31	advcl
41	de	ADP	44	case
42	los	DET	44	det
43	grandes	ADJ	44	amod
44	objetivos	NOUN	40	nmod
45	de	ADP	47	case
46	las	DET	47	det
47	empresas	NOUN	44	nmod
48	y	CCONJ	51	cc
49	de	ADP	51	case
50	los	DET	51	det
51	sindicatos	NOUN	47	conj
52	y	CCONJ	59	cc
53	que	SCONJ	59	mark
54	"	PUNCT	59	punct
55	estamos	AUX	59	cop
56	en	ADP	59	case
57	el	DET	59	det
58	buen	ADJ	59	amod
59	camino	NOUN	31	conj
60	para	ADP	61	mark
61	cumplir	VERB	59	advcl
62	el	DET	63	det
63	reto	NOUN	61	obj
64	del	ADP	66	case
65	pleno	ADJ	66	amod
66	empleo	NOUN	63	nmod
67	"	PUNCT	59	punct
68	.	PUNCT	12	punct