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:
Es dúctil y flexible y con diferente espesor según el emplazamiento corporal (de cinco cienmilímetros en los párpados a los casi cinco milímetros en las plantas de los pies).
Postion	Tokenization
1	Es
2	dúctil
3	y
4	flexible
5	y
6	con
7	diferente
8	espesor
9	según
10	el
11	emplazamiento
12	corporal
13	(
14	de
15	cinco
16	cienmilímetros
17	en
18	los
19	párpados
20	a
21	los
22	casi
23	cinco
24	milímetros
25	en
26	las
27	plantas
28	de
29	los
30	pies
31	)
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Es	AUX	2	cop
2	dúctil	ADJ	0	root
3	y	CCONJ	4	cc
4	flexible	ADJ	2	conj
5	y	CCONJ	8	cc
6	con	ADP	8	case
7	diferente	ADJ	8	amod
8	espesor	NOUN	2	conj
9	según	ADP	11	case
10	el	DET	11	det
11	emplazamiento	NOUN	2	obl
12	corporal	ADJ	11	amod
13	(	PUNCT	16	punct
14	de	ADP	16	case
15	cinco	NUM	16	nummod
16	cienmilímetros	NOUN	11	nmod
17	en	ADP	19	case
18	los	DET	19	det
19	párpados	NOUN	16	nmod
20	a	ADP	24	case
21	los	DET	24	det
22	casi	ADV	21	advmod
23	cinco	NUM	21	nummod
24	milímetros	NOUN	16	nmod
25	en	ADP	27	case
26	las	DET	27	det
27	plantas	NOUN	16	nmod
28	de	ADP	30	case
29	los	DET	30	det
30	pies	NOUN	27	nmod
31	)	PUNCT	16	punct
32	.	PUNCT	2	punct