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:
Durante la presentación del libro "La prosperidad por medio de la investigación. La investigación básica en EEUU", editado por la Comunidad de Madrid, el secretario general de la Confederación Empresarial de Madrid-CEOE (CEIM), Alejandro Couceiro, abogó por la formación de los investigadores en temas de innovación tecnológica.
Postion	Tokenization
1	Durante
2	la
3	presentación
4	del
5	libro
6	"
7	La
8	prosperidad
9	por
10	medio
11	de
12	la
13	investigación
14	.
15	La
16	investigación
17	básica
18	en
19	EEUU
20	"
21	,
22	editado
23	por
24	la
25	Comunidad
26	de
27	Madrid
28	,
29	el
30	secretario
31	general
32	de
33	la
34	Confederación
35	Empresarial
36	de
37	Madrid-CEOE
38	(
39	CEIM
40	)
41	,
42	Alejandro
43	Couceiro
44	,
45	abogó
46	por
47	la
48	formación
49	de
50	los
51	investigadores
52	en
53	temas
54	de
55	innovación
56	tecnológica
57	.
Position	Tokenization	UPOS	Head	Deprel
1	Durante	ADP	3	case
2	la	DET	3	det
3	presentación	NOUN	45	obl
4	del	ADP	5	case
5	libro	NOUN	3	nmod
6	"	PUNCT	7	punct
7	La	DET	8	det
8	prosperidad	PROPN	5	appos
9	por	ADP	10	case
10	medio	PROPN	7	flat
11	de	ADP	13	case
12	la	DET	13	det
13	investigación	PROPN	7	flat
14	.	PUNCT	13	punct
15	La	DET	16	det
16	investigación	PROPN	7	flat
17	básica	PROPN	16	flat
18	en	ADP	19	case
19	EEUU	PROPN	16	flat
20	"	PUNCT	22	punct
21	,	PUNCT	22	punct
22	editado	ADJ	5	amod
23	por	ADP	25	case
24	la	DET	25	det
25	Comunidad	PROPN	22	obj
26	de	ADP	27	case
27	Madrid	PROPN	25	flat
28	,	PUNCT	3	punct
29	el	DET	30	det
30	secretario	NOUN	45	nsubj
31	general	ADJ	30	amod
32	de	ADP	34	case
33	la	DET	34	det
34	Confederación	PROPN	30	nmod
35	Empresarial	PROPN	34	flat
36	de	ADP	37	case
37	Madrid-CEOE	PROPN	34	flat
38	(	PUNCT	39	punct
39	CEIM	PROPN	34	flat
40	)	PUNCT	39	punct
41	,	PUNCT	42	punct
42	Alejandro	PROPN	30	appos
43	Couceiro	PROPN	42	flat
44	,	PUNCT	42	punct
45	abogó	VERB	0	root
46	por	ADP	48	case
47	la	DET	48	det
48	formación	NOUN	45	obj
49	de	ADP	51	case
50	los	DET	51	det
51	investigadores	NOUN	48	nmod
52	en	ADP	53	case
53	temas	NOUN	48	nmod
54	de	ADP	55	case
55	innovación	NOUN	53	nmod
56	tecnológica	ADJ	55	amod
57	.	PUNCT	45	punct