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 y Energía, Josep Piqué, afirmó ayer que el sector agroalimentario español está demasiado atomizado, por lo que es "conveniente e inevitable" que avance hacia una progresiva concentración, como estrategia para fortalecer su posición frente al sector de la distribución.
Postion	Tokenization
1	El
2	ministro
3	de
4	Industria
5	y
6	Energía
7	,
8	Josep
9	Piqué
10	,
11	afirmó
12	ayer
13	que
14	el
15	sector
16	agroalimentario
17	español
18	está
19	demasiado
20	atomizado
21	,
22	por
23	lo
24	que
25	es
26	"
27	conveniente
28	e
29	inevitable
30	"
31	que
32	avance
33	hacia
34	una
35	progresiva
36	concentración
37	,
38	como
39	estrategia
40	para
41	fortalecer
42	su
43	posición
44	frente
45	al
46	sector
47	de
48	la
49	distribución
50	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ministro	NOUN	11	nsubj
3	de	ADP	4	case
4	Industria	PROPN	2	nmod
5	y	CCONJ	6	cc
6	Energía	PROPN	4	conj
7	,	PUNCT	8	punct
8	Josep	PROPN	2	appos
9	Piqué	PROPN	8	flat
10	,	PUNCT	8	punct
11	afirmó	VERB	0	root
12	ayer	ADV	11	advmod
13	que	SCONJ	20	mark
14	el	DET	15	det
15	sector	NOUN	20	nsubj
16	agroalimentario	ADJ	15	amod
17	español	ADJ	15	amod
18	está	AUX	20	cop
19	demasiado	ADV	20	advmod
20	atomizado	VERB	11	ccomp
21	,	PUNCT	27	punct
22	por	ADP	27	case
23	lo	PRON	27	det
24	que	PRON	27	obl
25	es	AUX	27	cop
26	"	PUNCT	27	punct
27	conveniente	ADJ	11	advcl
28	e	CCONJ	29	cc
29	inevitable	ADJ	27	conj
30	"	PUNCT	27	punct
31	que	SCONJ	32	mark
32	avance	VERB	27	csubj
33	hacia	ADP	36	case
34	una	DET	36	det
35	progresiva	ADJ	36	amod
36	concentración	NOUN	32	obl
37	,	PUNCT	39	punct
38	como	SCONJ	39	mark
39	estrategia	NOUN	32	obl
40	para	ADP	41	mark
41	fortalecer	VERB	39	acl
42	su	DET	43	det
43	posición	NOUN	41	obj
44	frente	NOUN	46	case
45	al	ADP	44	fixed
46	sector	NOUN	41	obl
47	de	ADP	49	case
48	la	DET	49	det
49	distribución	NOUN	46	nmod
50	.	PUNCT	11	punct