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:
El conocimiento de la estructura de estos materiales así como el fenómeno de la conductividad, es lo que conducirá a polímeros más estables y, por consiguiente, a su posible comercialización en las respectivas aplicaciones.
Postion	Tokenization
1	El
2	conocimiento
3	de
4	la
5	estructura
6	de
7	estos
8	materiales
9	así
10	como
11	el
12	fenómeno
13	de
14	la
15	conductividad
16	,
17	es
18	lo
19	que
20	conducirá
21	a
22	polímeros
23	más
24	estables
25	y
26	,
27	por
28	consiguiente
29	,
30	a
31	su
32	posible
33	comercialización
34	en
35	las
36	respectivas
37	aplicaciones
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	conocimiento	NOUN	17	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	estructura	NOUN	2	nmod
6	de	ADP	8	case
7	estos	DET	8	det
8	materiales	NOUN	5	nmod
9	así	ADV	12	cc
10	como	SCONJ	9	fixed
11	el	DET	12	det
12	fenómeno	NOUN	2	conj
13	de	ADP	15	case
14	la	DET	15	det
15	conductividad	NOUN	12	nmod
16	,	PUNCT	17	punct
17	es	AUX	0	root
18	lo	PRON	20	det
19	que	PRON	20	nsubj
20	conducirá	VERB	17	ccomp
21	a	ADP	22	case
22	polímeros	NOUN	20	obj
23	más	ADV	24	advmod
24	estables	ADJ	22	amod
25	y	CCONJ	27	cc
26	,	PUNCT	27	punct
27	por	ADP	22	conj
28	consiguiente	NOUN	27	fixed
29	,	PUNCT	27	punct
30	a	ADP	27	case
31	su	DET	33	det
32	posible	ADJ	33	amod
33	comercialización	NOUN	27	nmod
34	en	ADP	37	case
35	las	DET	37	det
36	respectivas	ADJ	37	amod
37	aplicaciones	NOUN	33	nmod
38	.	PUNCT	17	punct