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:
Hace poco más de una década, empleando la síntesis de Shirakawa de poliacetileno, se preparó por primera vez un polímero orgánico que presentaba una conductividad eléctrica comparable a la de los metales.
Postion	Tokenization
1	Hace
2	poco
3	más
4	de
5	una
6	década
7	,
8	empleando
9	la
10	síntesis
11	de
12	Shirakawa
13	de
14	poliacetileno
15	,
16	se
17	preparó
18	por
19	primera
20	vez
21	un
22	polímero
23	orgánico
24	que
25	presentaba
26	una
27	conductividad
28	eléctrica
29	comparable
30	a
31	la
32	de
33	los
34	metales
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Hace	VERB	17	advcl
2	poco	ADV	6	advmod
3	más	ADV	6	advmod
4	de	ADP	6	case
5	una	NUM	6	nummod
6	década	NOUN	1	obj
7	,	PUNCT	8	punct
8	empleando	VERB	17	advcl
9	la	DET	10	det
10	síntesis	NOUN	8	obj
11	de	ADP	12	case
12	Shirakawa	PROPN	10	nmod
13	de	ADP	14	case
14	poliacetileno	NOUN	10	nmod
15	,	PUNCT	8	punct
16	se	PRON	17	expl:pass
17	preparó	VERB	0	root
18	por	ADP	20	case
19	primera	ADJ	20	amod
20	vez	NOUN	17	obl
21	un	DET	22	det
22	polímero	NOUN	17	nsubj
23	orgánico	ADJ	22	amod
24	que	PRON	25	nsubj
25	presentaba	VERB	22	acl
26	una	DET	27	det
27	conductividad	NOUN	25	obj
28	eléctrica	ADJ	27	amod
29	comparable	ADJ	27	amod
30	a	ADP	31	case
31	la	DET	29	det
32	de	ADP	31	case
33	los	DET	34	det
34	metales	NOUN	31	nmod
35	.	PUNCT	17	punct