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:
El catedrático Joan Rodés, director de investigación del Hospital Clínic de Barcelona y uno de los hepatólogos de mayor prestigio en el mundo, considera que el "deficiente" sistema de I+D en España es una rémora que puede tener consecuencias funestas en el bienestar económico.
Postion	Tokenization
1	El
2	catedrático
3	Joan
4	Rodés
5	,
6	director
7	de
8	investigación
9	del
10	Hospital
11	Clínic
12	de
13	Barcelona
14	y
15	uno
16	de
17	los
18	hepatólogos
19	de
20	mayor
21	prestigio
22	en
23	el
24	mundo
25	,
26	considera
27	que
28	el
29	"
30	deficiente
31	"
32	sistema
33	de
34	I+D
35	en
36	España
37	es
38	una
39	rémora
40	que
41	puede
42	tener
43	consecuencias
44	funestas
45	en
46	el
47	bienestar
48	económico
49	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	catedrático	NOUN	26	nsubj
3	Joan	PROPN	2	appos
4	Rodés	PROPN	3	flat
5	,	PUNCT	6	punct
6	director	NOUN	2	appos
7	de	ADP	8	case
8	investigación	NOUN	6	nmod
9	del	ADP	10	case
10	Hospital	PROPN	6	nmod
11	Clínic	PROPN	10	flat
12	de	ADP	13	case
13	Barcelona	PROPN	10	nmod
14	y	CCONJ	15	cc
15	uno	PRON	6	conj
16	de	ADP	18	case
17	los	DET	18	det
18	hepatólogos	NOUN	15	nmod
19	de	ADP	21	case
20	mayor	ADJ	21	amod
21	prestigio	NOUN	18	nmod
22	en	ADP	24	case
23	el	DET	24	det
24	mundo	NOUN	18	nmod
25	,	PUNCT	6	punct
26	considera	VERB	0	root
27	que	SCONJ	39	mark
28	el	DET	32	det
29	"	PUNCT	30	punct
30	deficiente	ADJ	32	amod
31	"	PUNCT	30	punct
32	sistema	NOUN	39	nsubj
33	de	ADP	34	case
34	I+D	PROPN	32	nmod
35	en	ADP	36	case
36	España	PROPN	32	nmod
37	es	AUX	39	cop
38	una	DET	39	det
39	rémora	NOUN	26	ccomp
40	que	PRON	42	nsubj
41	puede	AUX	42	aux
42	tener	VERB	39	acl
43	consecuencias	NOUN	42	obj
44	funestas	ADJ	43	amod
45	en	ADP	47	case
46	el	DET	47	det
47	bienestar	NOUN	42	obl
48	económico	ADJ	47	amod
49	.	PUNCT	26	punct