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 Industria, Josep Piqué, criticó ayer en Melilla la convocatoria de dos jornadas de huelga en la minería durante la campaña electoral para los comicios del próximo 13 de junio, y la atribuyó a posibles razones "no estrictamente ligadas al Plan del Carbón".
Postion	Tokenization
1	El
2	ministro
3	de
4	Industria
5	,
6	Josep
7	Piqué
8	,
9	criticó
10	ayer
11	en
12	Melilla
13	la
14	convocatoria
15	de
16	dos
17	jornadas
18	de
19	huelga
20	en
21	la
22	minería
23	durante
24	la
25	campaña
26	electoral
27	para
28	los
29	comicios
30	del
31	próximo
32	13
33	de
34	junio
35	,
36	y
37	la
38	atribuyó
39	a
40	posibles
41	razones
42	"
43	no
44	estrictamente
45	ligadas
46	al
47	Plan
48	del
49	Carbón
50	"
51	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ministro	NOUN	9	nsubj
3	de	ADP	4	case
4	Industria	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Josep	PROPN	2	appos
7	Piqué	PROPN	6	flat
8	,	PUNCT	6	punct
9	criticó	VERB	0	root
10	ayer	ADV	9	advmod
11	en	ADP	12	case
12	Melilla	PROPN	9	obl
13	la	DET	14	det
14	convocatoria	NOUN	9	obj
15	de	ADP	17	case
16	dos	NUM	17	nummod
17	jornadas	NOUN	14	nmod
18	de	ADP	19	case
19	huelga	NOUN	17	nmod
20	en	ADP	22	case
21	la	DET	22	det
22	minería	NOUN	19	nmod
23	durante	ADP	25	case
24	la	DET	25	det
25	campaña	NOUN	14	nmod
26	electoral	ADJ	25	amod
27	para	ADP	29	case
28	los	DET	29	det
29	comicios	NOUN	25	nmod
30	del	ADP	32	case
31	próximo	ADJ	32	amod
32	13	NUM	29	nmod
33	de	ADP	34	case
34	junio	NOUN	32	compound
35	,	PUNCT	38	punct
36	y	CCONJ	38	cc
37	la	PRON	38	obj
38	atribuyó	VERB	9	conj
39	a	ADP	41	case
40	posibles	ADJ	41	amod
41	razones	NOUN	38	iobj
42	"	PUNCT	41	punct
43	no	ADV	45	advmod
44	estrictamente	ADV	45	advmod
45	ligadas	ADJ	41	amod
46	al	ADP	47	case
47	Plan	PROPN	45	obj
48	del	ADP	49	case
49	Carbón	PROPN	47	flat
50	"	PUNCT	9	punct
51	.	PUNCT	9	punct