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 ministro de Trabajo, Juan Carlos Aparicio, ha asegurado que no se puede poner ningún ejemplo de que el PP haya rebajado la protección social y ha criticado, refiriéndose a Narcís Serra, a aquellos que "pretenden repartir progreso sin que hayan sabido crear empleo".
Postion	Tokenization
1	El
2	ministro
3	de
4	Trabajo
5	,
6	Juan
7	Carlos
8	Aparicio
9	,
10	ha
11	asegurado
12	que
13	no
14	se
15	puede
16	poner
17	ningún
18	ejemplo
19	de
20	que
21	el
22	PP
23	haya
24	rebajado
25	la
26	protección
27	social
28	y
29	ha
30	criticado
31	,
32	refiriéndose
33	refiriendo
34	se
35	a
36	Narcís
37	Serra
38	,
39	a
40	aquellos
41	que
42	"
43	pretenden
44	repartir
45	progreso
46	sin
47	que
48	hayan
49	sabido
50	crear
51	empleo
52	"
53	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ministro	NOUN	11	nsubj
3	de	ADP	4	case
4	Trabajo	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Juan	PROPN	2	appos
7	Carlos	PROPN	6	flat
8	Aparicio	PROPN	6	flat
9	,	PUNCT	6	punct
10	ha	AUX	11	aux
11	asegurado	VERB	0	root
12	que	SCONJ	16	mark
13	no	ADV	16	advmod
14	se	PRON	16	expl:pass
15	puede	AUX	16	aux
16	poner	VERB	11	xcomp
17	ningún	DET	18	det
18	ejemplo	NOUN	16	nsubj
19	de	ADP	24	mark
20	que	SCONJ	24	mark
21	el	DET	22	det
22	PP	PROPN	24	nsubj
23	haya	AUX	24	aux
24	rebajado	VERB	18	acl
25	la	DET	26	det
26	protección	NOUN	24	obj
27	social	ADJ	26	amod
28	y	CCONJ	30	cc
29	ha	AUX	30	aux
30	criticado	VERB	11	conj
31	,	PUNCT	32	punct
32	refiriéndose	_	None	_
33	refiriendo	VERB	30	advcl
34	se	PRON	32	expl:pv
35	a	ADP	35	case
36	Narcís	PROPN	32	obl
37	Serra	PROPN	35	flat
38	,	PUNCT	32	punct
39	a	ADP	39	case
40	aquellos	PRON	30	obj
41	que	PRON	42	nsubj
42	"	PUNCT	42	punct
43	pretenden	VERB	39	acl
44	repartir	VERB	42	xcomp
45	progreso	NOUN	43	obj
46	sin	ADP	48	mark
47	que	SCONJ	48	mark
48	hayan	AUX	48	aux
49	sabido	VERB	42	advcl
50	crear	VERB	48	xcomp
51	empleo	NOUN	49	obj
52	"	PUNCT	42	punct
53	.	PUNCT	11	punct