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 primera, y más simple, solución en este sentido fue la adición a un polímero, un plástico, de fibrillas o partículas metálicas o de otra sustancia conductora, como el grafito.
Postion	Tokenization
1	La
2	primera
3	,
4	y
5	más
6	simple
7	,
8	solución
9	en
10	este
11	sentido
12	fue
13	la
14	adición
15	a
16	un
17	polímero
18	,
19	un
20	plástico
21	,
22	de
23	fibrillas
24	o
25	partículas
26	metálicas
27	o
28	de
29	otra
30	sustancia
31	conductora
32	,
33	como
34	el
35	grafito
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	8	det
2	primera	ADJ	8	amod
3	,	PUNCT	6	punct
4	y	CCONJ	6	cc
5	más	ADV	6	advmod
6	simple	ADJ	2	conj
7	,	PUNCT	2	punct
8	solución	NOUN	14	nsubj
9	en	ADP	11	case
10	este	DET	11	det
11	sentido	NOUN	8	nmod
12	fue	AUX	14	cop
13	la	DET	14	det
14	adición	NOUN	0	root
15	a	ADP	17	case
16	un	DET	17	det
17	polímero	NOUN	14	nmod
18	,	PUNCT	20	punct
19	un	DET	20	det
20	plástico	NOUN	17	appos
21	,	PUNCT	20	punct
22	de	ADP	23	case
23	fibrillas	NOUN	14	nmod
24	o	CCONJ	25	cc
25	partículas	NOUN	23	conj
26	metálicas	ADJ	25	amod
27	o	CCONJ	30	cc
28	de	ADP	30	case
29	otra	DET	30	det
30	sustancia	NOUN	23	conj
31	conductora	ADJ	30	amod
32	,	PUNCT	35	punct
33	como	SCONJ	35	mark
34	el	DET	35	det
35	grafito	NOUN	30	nmod
36	.	PUNCT	14	punct