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:
De hecho, el proceso de - dopado - no suele ser completamente uniforme en el polímero aunque el grado de control es muy elevado utilizando el método electroquímico.
Postion	Tokenization
1	De
2	hecho
3	,
4	el
5	proceso
6	de
7	-
8	dopado
9	-
10	no
11	suele
12	ser
13	completamente
14	uniforme
15	en
16	el
17	polímero
18	aunque
19	el
20	grado
21	de
22	control
23	es
24	muy
25	elevado
26	utilizando
27	el
28	método
29	electroquímico
30	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	11	advmod
2	hecho	NOUN	1	fixed
3	,	PUNCT	1	punct
4	el	DET	5	det
5	proceso	NOUN	11	nsubj
6	de	ADP	8	case
7	-	PUNCT	8	punct
8	dopado	NOUN	5	nmod
9	-	PUNCT	8	punct
10	no	ADV	11	advmod
11	suele	VERB	0	root
12	ser	AUX	14	cop
13	completamente	ADV	11	advmod
14	uniforme	ADJ	11	xcomp
15	en	ADP	17	case
16	el	DET	17	det
17	polímero	NOUN	14	nmod
18	aunque	SCONJ	23	mark
19	el	DET	20	det
20	grado	NOUN	23	nsubj
21	de	ADP	22	case
22	control	NOUN	20	nmod
23	es	AUX	14	advcl
24	muy	ADV	26	advmod
25	elevado	ADJ	26	xcomp
26	utilizando	VERB	23	ccomp
27	el	DET	28	det
28	método	NOUN	26	obj
29	electroquímico	ADJ	28	amod
30	.	PUNCT	11	punct