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:
En cualquier caso, según continúan asegurando los científicos, la secuencia evolutiva de la piel de los animales pasa claramente de los peces a los reptiles y llega posteriormente a las aves.
Postion	Tokenization
1	En
2	cualquier
3	caso
4	,
5	según
6	continúan
7	asegurando
8	los
9	científicos
10	,
11	la
12	secuencia
13	evolutiva
14	de
15	la
16	piel
17	de
18	los
19	animales
20	pasa
21	claramente
22	de
23	los
24	peces
25	a
26	los
27	reptiles
28	y
29	llega
30	posteriormente
31	a
32	las
33	aves
34	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	cualquier	DET	3	det
3	caso	NOUN	6	obl
4	,	PUNCT	6	punct
5	según	SCONJ	6	mark
6	continúan	VERB	0	root
7	asegurando	VERB	6	xcomp
8	los	DET	9	det
9	científicos	NOUN	6	nsubj
10	,	PUNCT	20	punct
11	la	DET	12	det
12	secuencia	NOUN	20	nsubj
13	evolutiva	ADJ	12	amod
14	de	ADP	16	case
15	la	DET	16	det
16	piel	NOUN	12	nmod
17	de	ADP	19	case
18	los	DET	19	det
19	animales	NOUN	16	nmod
20	pasa	VERB	7	advcl
21	claramente	ADV	20	advmod
22	de	ADP	24	case
23	los	DET	24	det
24	peces	NOUN	20	obl
25	a	ADP	27	case
26	los	DET	27	det
27	reptiles	NOUN	20	obl
28	y	CCONJ	29	cc
29	llega	VERB	20	conj
30	posteriormente	ADV	29	advmod
31	a	ADP	33	case
32	las	DET	33	det
33	aves	NOUN	29	obj
34	.	PUNCT	6	punct