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:
Supone el procedimiento de Shirakawa la polimerización del acetileno con catalizador de Ziegler-Natta, lo que permite obtener películas de polímeros de aspecto y brillo metálico.
Postion	Tokenization
1	Supone
2	el
3	procedimiento
4	de
5	Shirakawa
6	la
7	polimerización
8	del
9	acetileno
10	con
11	catalizador
12	de
13	Ziegler-Natta
14	,
15	lo
16	que
17	permite
18	obtener
19	películas
20	de
21	polímeros
22	de
23	aspecto
24	y
25	brillo
26	metálico
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Supone	VERB	0	root
2	el	DET	3	det
3	procedimiento	NOUN	1	nsubj
4	de	ADP	5	case
5	Shirakawa	PROPN	3	nmod
6	la	DET	7	det
7	polimerización	NOUN	1	obj
8	del	ADP	9	case
9	acetileno	NOUN	7	nmod
10	con	ADP	11	case
11	catalizador	NOUN	7	nmod
12	de	ADP	13	case
13	Ziegler-Natta	PROPN	11	nmod
14	,	PUNCT	17	punct
15	lo	PRON	17	det
16	que	PRON	17	nsubj
17	permite	VERB	1	advcl
18	obtener	VERB	17	xcomp
19	películas	NOUN	18	obl
20	de	ADP	21	case
21	polímeros	NOUN	19	nmod
22	de	ADP	23	case
23	aspecto	NOUN	21	nmod
24	y	CCONJ	25	cc
25	brillo	NOUN	23	conj
26	metálico	ADJ	23	amod
27	.	PUNCT	1	punct