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 Comisión explicó que esas especies se reproducen con lentitud y además su piel es frágil, por lo que las redes de arrastre les causan heridas importantes.
Postion	Tokenization
1	La
2	Comisión
3	explicó
4	que
5	esas
6	especies
7	se
8	reproducen
9	con
10	lentitud
11	y
12	además
13	su
14	piel
15	es
16	frágil
17	,
18	por
19	lo
20	que
21	las
22	redes
23	de
24	arrastre
25	les
26	causan
27	heridas
28	importantes
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Comisión	PROPN	3	nsubj
3	explicó	VERB	0	root
4	que	SCONJ	8	mark
5	esas	DET	6	det
6	especies	NOUN	8	nsubj
7	se	PRON	8	obj
8	reproducen	VERB	3	ccomp
9	con	ADP	10	case
10	lentitud	NOUN	8	obl
11	y	CCONJ	16	cc
12	además	ADV	16	advmod
13	su	DET	14	det
14	piel	NOUN	16	nsubj
15	es	AUX	16	cop
16	frágil	ADJ	8	conj
17	,	PUNCT	26	punct
18	por	ADP	26	mark
19	lo	PRON	26	det
20	que	PRON	26	obl
21	las	DET	22	det
22	redes	NOUN	26	nsubj
23	de	ADP	22	advmod
24	arrastre	NOUN	23	fixed
25	les	PRON	26	obj
26	causan	VERB	16	advcl
27	heridas	NOUN	26	obj
28	importantes	ADJ	27	amod
29	.	PUNCT	3	punct