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:
Ambos líderes recordarán al Ejecutivo que España sufre la tasa más alta de paro de toda la UE, que el empleo sigue siendo precario, que aún no ha impulsado la reducción del tiempo de trabajo hacia las 35 horas semanales y que la siniestralidad laboral sigue creciendo año tras año, más de un 11% en 1998.
Postion	Tokenization
1	Ambos
2	líderes
3	recordarán
4	al
5	Ejecutivo
6	que
7	España
8	sufre
9	la
10	tasa
11	más
12	alta
13	de
14	paro
15	de
16	toda
17	la
18	UE
19	,
20	que
21	el
22	empleo
23	sigue
24	siendo
25	precario
26	,
27	que
28	aún
29	no
30	ha
31	impulsado
32	la
33	reducción
34	del
35	tiempo
36	de
37	trabajo
38	hacia
39	las
40	35
41	horas
42	semanales
43	y
44	que
45	la
46	siniestralidad
47	laboral
48	sigue
49	creciendo
50	año
51	tras
52	año
53	,
54	más
55	de
56	un
57	11%
58	en
59	1998
60	.
Position	Tokenization	UPOS	Head	Deprel
1	Ambos	NUM	2	nummod
2	líderes	NOUN	3	nsubj
3	recordarán	VERB	0	root
4	al	ADP	5	case
5	Ejecutivo	PROPN	3	iobj
6	que	SCONJ	8	mark
7	España	PROPN	8	nsubj
8	sufre	VERB	3	ccomp
9	la	DET	10	det
10	tasa	NOUN	8	obj
11	más	ADV	12	advmod
12	alta	ADJ	10	amod
13	de	ADP	14	case
14	paro	NOUN	10	nmod
15	de	ADP	18	case
16	toda	DET	17	det
17	la	DET	18	det
18	UE	PROPN	10	nmod
19	,	PUNCT	23	punct
20	que	SCONJ	23	mark
21	el	DET	22	det
22	empleo	NOUN	23	nsubj
23	sigue	VERB	8	advcl
24	siendo	AUX	25	cop
25	precario	ADJ	23	xcomp
26	,	PUNCT	31	punct
27	que	SCONJ	31	mark
28	aún	ADV	31	advmod
29	no	ADV	31	advmod
30	ha	AUX	31	aux
31	impulsado	VERB	8	advcl
32	la	DET	33	det
33	reducción	NOUN	31	obj
34	del	ADP	35	case
35	tiempo	NOUN	33	nmod
36	de	ADP	37	case
37	trabajo	NOUN	35	nmod
38	hacia	ADP	41	case
39	las	DET	40	det
40	35	NUM	41	nummod
41	horas	NOUN	33	nmod
42	semanales	ADJ	41	amod
43	y	CCONJ	48	cc
44	que	SCONJ	48	mark
45	la	DET	46	det
46	siniestralidad	NOUN	48	nsubj
47	laboral	ADJ	46	amod
48	sigue	VERB	8	conj
49	creciendo	VERB	48	xcomp
50	año	NOUN	48	obl
51	tras	ADP	52	case
52	año	NOUN	50	nmod
53	,	PUNCT	57	punct
54	más	ADV	56	advmod
55	de	ADP	56	case
56	un	PRON	57	nmod
57	11%	SYM	48	advmod
58	en	ADP	59	case
59	1998	NOUN	57	nmod
60	.	PUNCT	3	punct