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:
Tales láminas, con espesores controlables desde 1 a varios mm, permiten lograr fácilmente el - dopado - del polímero (fig. 1).
Postion	Tokenization
1	Tales
2	láminas
3	,
4	con
5	espesores
6	controlables
7	desde
8	1
9	a
10	varios
11	mm
12	,
13	permiten
14	lograr
15	fácilmente
16	el
17	-
18	dopado
19	-
20	del
21	polímero
22	(
23	fig.
24	1
25	)
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Tales	DET	2	det
2	láminas	NOUN	13	nsubj
3	,	PUNCT	5	punct
4	con	ADP	5	case
5	espesores	NOUN	2	nmod
6	controlables	ADJ	5	amod
7	desde	ADP	8	case
8	1	NUM	5	nummod
9	a	ADP	11	case
10	varios	DET	11	det
11	mm	NOUN	5	nmod
12	,	PUNCT	5	punct
13	permiten	VERB	0	root
14	lograr	VERB	13	xcomp
15	fácilmente	ADV	14	advmod
16	el	DET	18	det
17	-	PUNCT	18	punct
18	dopado	NOUN	14	obj
19	-	PUNCT	18	punct
20	del	ADP	21	case
21	polímero	NOUN	18	nmod
22	(	PUNCT	23	punct
23	fig.	NOUN	13	dep
24	1	NUM	23	appos
25	)	PUNCT	23	punct
26	.	PUNCT	13	punct