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:
Del arte, los Reyes pasaron a la investigación científica que se practica en los laboratorios Innogenetics, una empresa puntera que desarrolla vacunas contra la hepatitis C, trabaja en desórdenes genéticos, así como en reconstrucciones de tejido y en la detección de enfermedades neurodegenerativas como el Alzheimer.
Postion	Tokenization
1	Del
2	arte
3	,
4	los
5	Reyes
6	pasaron
7	a
8	la
9	investigación
10	científica
11	que
12	se
13	practica
14	en
15	los
16	laboratorios
17	Innogenetics
18	,
19	una
20	empresa
21	puntera
22	que
23	desarrolla
24	vacunas
25	contra
26	la
27	hepatitis
28	C
29	,
30	trabaja
31	en
32	desórdenes
33	genéticos
34	,
35	así
36	como
37	en
38	reconstrucciones
39	de
40	tejido
41	y
42	en
43	la
44	detección
45	de
46	enfermedades
47	neurodegenerativas
48	como
49	el
50	Alzheimer
51	.
Position	Tokenization	UPOS	Head	Deprel
1	Del	ADP	2	case
2	arte	NOUN	6	obl
3	,	PUNCT	2	punct
4	los	DET	5	det
5	Reyes	PROPN	6	nsubj
6	pasaron	VERB	0	root
7	a	ADP	9	case
8	la	DET	9	det
9	investigación	NOUN	6	obl
10	científica	ADJ	9	amod
11	que	PRON	13	nsubj
12	se	PRON	13	expl:pass
13	practica	VERB	9	acl
14	en	ADP	16	case
15	los	DET	16	det
16	laboratorios	NOUN	13	obl
17	Innogenetics	PROPN	16	appos
18	,	PUNCT	20	punct
19	una	DET	20	det
20	empresa	NOUN	17	appos
21	puntera	ADJ	20	amod
22	que	PRON	23	nsubj
23	desarrolla	VERB	20	acl
24	vacunas	NOUN	23	obj
25	contra	ADP	27	case
26	la	DET	27	det
27	hepatitis	NOUN	24	nmod
28	C	PROPN	27	nmod
29	,	PUNCT	23	punct
30	trabaja	VERB	23	advcl
31	en	ADP	32	case
32	desórdenes	NOUN	30	obl
33	genéticos	ADJ	32	amod
34	,	PUNCT	38	punct
35	así	ADV	38	cc
36	como	SCONJ	35	fixed
37	en	ADP	38	case
38	reconstrucciones	NOUN	32	conj
39	de	ADP	40	case
40	tejido	NOUN	38	nmod
41	y	CCONJ	44	cc
42	en	ADP	44	case
43	la	DET	44	det
44	detección	NOUN	38	conj
45	de	ADP	46	case
46	enfermedades	NOUN	44	nmod
47	neurodegenerativas	ADJ	46	amod
48	como	ADP	50	case
49	el	DET	50	det
50	Alzheimer	PROPN	46	nmod
51	.	PUNCT	6	punct