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:
Hoy, las modernas ciencias de la dermatología y la cosmética caminan en ese sentido y centran todo su empeño en aislar los principios inmediatos que hacen posible la regeneración de las células epiteliales o de los cabellos.
Postion	Tokenization
1	Hoy
2	,
3	las
4	modernas
5	ciencias
6	de
7	la
8	dermatología
9	y
10	la
11	cosmética
12	caminan
13	en
14	ese
15	sentido
16	y
17	centran
18	todo
19	su
20	empeño
21	en
22	aislar
23	los
24	principios
25	inmediatos
26	que
27	hacen
28	posible
29	la
30	regeneración
31	de
32	las
33	células
34	epiteliales
35	o
36	de
37	los
38	cabellos
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Hoy	ADV	12	advmod
2	,	PUNCT	1	punct
3	las	DET	5	det
4	modernas	ADJ	5	amod
5	ciencias	NOUN	12	nsubj
6	de	ADP	8	case
7	la	DET	8	det
8	dermatología	NOUN	5	nmod
9	y	CCONJ	11	cc
10	la	DET	11	det
11	cosmética	NOUN	8	conj
12	caminan	VERB	0	root
13	en	ADP	15	case
14	ese	DET	15	det
15	sentido	NOUN	12	obl
16	y	CCONJ	17	cc
17	centran	VERB	12	conj
18	todo	DET	19	det
19	su	DET	20	det
20	empeño	NOUN	17	iobj
21	en	ADP	22	mark
22	aislar	VERB	17	xcomp
23	los	DET	24	det
24	principios	NOUN	22	obj
25	inmediatos	ADJ	24	amod
26	que	PRON	27	nsubj
27	hacen	VERB	24	acl
28	posible	ADJ	27	obj
29	la	DET	30	det
30	regeneración	NOUN	27	obj
31	de	ADP	33	case
32	las	DET	33	det
33	células	NOUN	30	nmod
34	epiteliales	ADJ	33	amod
35	o	CCONJ	38	cc
36	de	ADP	38	case
37	los	DET	38	det
38	cabellos	NOUN	33	conj
39	.	PUNCT	12	punct