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:
Telas, cartones, tierra metal, madera, o simples esteras son elementos empleados por el pintor en su prolífica obra, que incluye más de 7.000 piezas, y que esta selección, la tercera gran exposición de Tápies en Madrid, trata de resumir.
Postion	Tokenization
1	Telas
2	,
3	cartones
4	,
5	tierra
6	metal
7	,
8	madera
9	,
10	o
11	simples
12	esteras
13	son
14	elementos
15	empleados
16	por
17	el
18	pintor
19	en
20	su
21	prolífica
22	obra
23	,
24	que
25	incluye
26	más
27	de
28	7.000
29	piezas
30	,
31	y
32	que
33	esta
34	selección
35	,
36	la
37	tercera
38	gran
39	exposición
40	de
41	Tápies
42	en
43	Madrid
44	,
45	trata
46	de
47	resumir
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Telas	NOUN	14	nsubj
2	,	PUNCT	3	punct
3	cartones	NOUN	1	conj
4	,	PUNCT	5	punct
5	tierra	NOUN	1	conj
6	metal	NOUN	1	conj
7	,	PUNCT	8	punct
8	madera	NOUN	1	conj
9	,	PUNCT	12	punct
10	o	CCONJ	12	cc
11	simples	ADJ	12	amod
12	esteras	NOUN	1	conj
13	son	AUX	14	cop
14	elementos	NOUN	0	root
15	empleados	ADJ	14	amod
16	por	ADP	18	case
17	el	DET	18	det
18	pintor	NOUN	15	obj
19	en	ADP	22	case
20	su	DET	22	det
21	prolífica	ADJ	22	amod
22	obra	NOUN	15	obl
23	,	PUNCT	25	punct
24	que	PRON	25	nsubj
25	incluye	VERB	22	acl
26	más	ADV	29	advmod
27	de	ADP	26	case
28	7.000	NUM	26	nummod
29	piezas	NOUN	25	obj
30	,	PUNCT	45	punct
31	y	CCONJ	45	cc
32	que	PRON	47	obj
33	esta	DET	34	det
34	selección	NOUN	45	nsubj
35	,	PUNCT	39	punct
36	la	DET	39	det
37	tercera	ADJ	39	amod
38	gran	ADJ	39	amod
39	exposición	NOUN	34	appos
40	de	ADP	41	case
41	Tápies	PROPN	39	nmod
42	en	ADP	43	case
43	Madrid	PROPN	39	nmod
44	,	PUNCT	39	punct
45	trata	VERB	25	conj
46	de	ADP	47	mark
47	resumir	VERB	45	xcomp
48	.	PUNCT	14	punct