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 producción del cobre, paralizada durante año y medio por la suspensión de pagos de la empresa, se reabrirá en el plazo de un mes o mes y medio aval de 1.000 millones concedido por la Junta de Andalucía, que se hizo efectivo ayer tras cerrar un acuerdo con el Banco de Andalucía.
Postion	Tokenization
1	La
2	producción
3	del
4	cobre
5	,
6	paralizada
7	durante
8	año
9	y
10	medio
11	por
12	la
13	suspensión
14	de
15	pagos
16	de
17	la
18	empresa
19	,
20	se
21	reabrirá
22	en
23	el
24	plazo
25	de
26	un
27	mes
28	o
29	mes
30	y
31	medio
32	aval
33	de
34	1.000
35	millones
36	concedido
37	por
38	la
39	Junta
40	de
41	Andalucía
42	,
43	que
44	se
45	hizo
46	efectivo
47	ayer
48	tras
49	cerrar
50	un
51	acuerdo
52	con
53	el
54	Banco
55	de
56	Andalucía
57	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	producción	NOUN	21	nsubj
3	del	ADP	4	case
4	cobre	NOUN	2	nmod
5	,	PUNCT	6	punct
6	paralizada	ADJ	2	amod
7	durante	ADP	8	case
8	año	NOUN	6	obl
9	y	CCONJ	10	cc
10	medio	NUM	8	conj
11	por	ADP	13	case
12	la	DET	13	det
13	suspensión	NOUN	6	obl
14	de	ADP	15	case
15	pagos	NOUN	13	nmod
16	de	ADP	18	case
17	la	DET	18	det
18	empresa	NOUN	13	nmod
19	,	PUNCT	6	punct
20	se	PRON	21	expl:pass
21	reabrirá	VERB	0	root
22	en	ADP	24	case
23	el	DET	24	det
24	plazo	NOUN	21	obl
25	de	ADP	27	case
26	un	DET	27	det
27	mes	NOUN	24	nmod
28	o	CCONJ	29	cc
29	mes	NOUN	27	conj
30	y	CCONJ	31	cc
31	medio	NUM	29	conj
32	aval	NOUN	21	obl
33	de	ADP	35	case
34	1.000	NUM	35	nummod
35	millones	NOUN	32	nmod
36	concedido	ADJ	32	amod
37	por	ADP	39	case
38	la	DET	39	det
39	Junta	PROPN	36	obj
40	de	ADP	41	case
41	Andalucía	PROPN	39	flat
42	,	PUNCT	45	punct
43	que	PRON	45	nsubj
44	se	PRON	45	expl:pass
45	hizo	VERB	32	acl
46	efectivo	ADJ	45	obj
47	ayer	ADV	45	advmod
48	tras	ADP	49	mark
49	cerrar	VERB	45	advcl
50	un	DET	51	det
51	acuerdo	NOUN	49	obj
52	con	ADP	54	case
53	el	DET	54	det
54	Banco	PROPN	51	nmod
55	de	ADP	56	case
56	Andalucía	PROPN	54	flat
57	.	PUNCT	21	punct