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:
La coordinadora de Participación y Acción Sectorial del PP, Ana Mato, pidió al Gobierno y a los agentes sociales que "sigan profundizando en las medidas aprobadas en la pasada legislatura y que ahonden en las reformas que están creando empleo", así como para reducir la temporalidad y luchar contra la siniestralidad laboral.
Postion	Tokenization
1	La
2	coordinadora
3	de
4	Participación
5	y
6	Acción
7	Sectorial
8	del
9	PP
10	,
11	Ana
12	Mato
13	,
14	pidió
15	al
16	Gobierno
17	y
18	a
19	los
20	agentes
21	sociales
22	que
23	"
24	sigan
25	profundizando
26	en
27	las
28	medidas
29	aprobadas
30	en
31	la
32	pasada
33	legislatura
34	y
35	que
36	ahonden
37	en
38	las
39	reformas
40	que
41	están
42	creando
43	empleo
44	"
45	,
46	así
47	como
48	para
49	reducir
50	la
51	temporalidad
52	y
53	luchar
54	contra
55	la
56	siniestralidad
57	laboral
58	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	coordinadora	NOUN	14	nsubj
3	de	ADP	4	case
4	Participación	PROPN	2	nmod
5	y	CCONJ	6	cc
6	Acción	PROPN	4	conj
7	Sectorial	PROPN	6	flat
8	del	ADP	9	case
9	PP	PROPN	2	nmod
10	,	PUNCT	11	punct
11	Ana	PROPN	2	appos
12	Mato	PROPN	11	flat
13	,	PUNCT	11	punct
14	pidió	VERB	0	root
15	al	ADP	16	case
16	Gobierno	PROPN	14	iobj
17	y	CCONJ	20	cc
18	a	ADP	20	case
19	los	DET	20	det
20	agentes	NOUN	16	conj
21	sociales	ADJ	20	amod
22	que	SCONJ	24	mark
23	"	PUNCT	24	punct
24	sigan	VERB	14	ccomp
25	profundizando	VERB	24	xcomp
26	en	ADP	28	case
27	las	DET	28	det
28	medidas	NOUN	25	obj
29	aprobadas	ADJ	28	amod
30	en	ADP	33	case
31	la	DET	33	det
32	pasada	ADJ	33	amod
33	legislatura	NOUN	29	obl
34	y	CCONJ	36	cc
35	que	SCONJ	36	mark
36	ahonden	VERB	25	conj
37	en	ADP	39	case
38	las	DET	39	det
39	reformas	NOUN	36	obj
40	que	PRON	42	nsubj
41	están	AUX	42	aux
42	creando	VERB	39	acl
43	empleo	NOUN	42	obj
44	"	PUNCT	24	punct
45	,	PUNCT	49	punct
46	así	ADV	49	mark
47	como	SCONJ	49	mark
48	para	ADP	49	mark
49	reducir	VERB	14	advcl
50	la	DET	51	det
51	temporalidad	NOUN	49	obj
52	y	CCONJ	53	cc
53	luchar	VERB	49	conj
54	contra	ADP	56	case
55	la	DET	56	det
56	siniestralidad	NOUN	53	obj
57	laboral	ADJ	56	amod
58	.	PUNCT	14	punct