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:
Minas de Rio Tinto tiene una plantilla de 550 trabajadores y una deuda de 9.000 millones de pesetas, se trata de la principal industria de la Cuenca Minera de Huelva, donde el índice de paro alcanza a más de la mitad de la población activa.
Postion	Tokenization
1	Minas
2	de
3	Rio
4	Tinto
5	tiene
6	una
7	plantilla
8	de
9	550
10	trabajadores
11	y
12	una
13	deuda
14	de
15	9.000
16	millones
17	de
18	pesetas
19	,
20	se
21	trata
22	de
23	la
24	principal
25	industria
26	de
27	la
28	Cuenca
29	Minera
30	de
31	Huelva
32	,
33	donde
34	el
35	índice
36	de
37	paro
38	alcanza
39	a
40	más
41	de
42	la
43	mitad
44	de
45	la
46	población
47	activa
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Minas	PROPN	5	nsubj
2	de	ADP	3	case
3	Rio	PROPN	1	flat
4	Tinto	PROPN	3	flat
5	tiene	VERB	0	root
6	una	DET	7	det
7	plantilla	NOUN	5	obj
8	de	ADP	10	case
9	550	NUM	10	nummod
10	trabajadores	NOUN	7	nmod
11	y	CCONJ	13	cc
12	una	DET	13	det
13	deuda	NOUN	7	conj
14	de	ADP	16	case
15	9.000	NUM	16	nummod
16	millones	NOUN	13	nmod
17	de	ADP	18	case
18	pesetas	NOUN	16	nmod
19	,	PUNCT	5	punct
20	se	PRON	21	expl:impers
21	trata	VERB	5	advcl
22	de	ADP	25	case
23	la	DET	25	det
24	principal	ADJ	25	amod
25	industria	NOUN	21	obj
26	de	ADP	28	case
27	la	DET	28	det
28	Cuenca	PROPN	25	nmod
29	Minera	PROPN	28	flat
30	de	ADP	31	case
31	Huelva	PROPN	28	flat
32	,	PUNCT	38	punct
33	donde	PRON	38	obl
34	el	DET	35	det
35	índice	NOUN	38	nsubj
36	de	ADP	37	case
37	paro	NOUN	35	nmod
38	alcanza	VERB	28	acl
39	a	ADP	43	case
40	más	ADV	42	advmod
41	de	ADP	42	case
42	la	DET	43	det
43	mitad	NOUN	38	obj
44	de	ADP	46	case
45	la	DET	46	det
46	población	NOUN	43	nmod
47	activa	ADJ	46	amod
48	.	PUNCT	5	punct