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 este sentido se refirió a la reciente creación del Ministerio de Ciencia y Tecnología y a las primeras declaraciones de su titular, Anna Birulés, sobre el impulso de la investigación, desarrollo e innovación.
Postion	Tokenization
1	En
2	este
3	sentido
4	se
5	refirió
6	a
7	la
8	reciente
9	creación
10	del
11	Ministerio
12	de
13	Ciencia
14	y
15	Tecnología
16	y
17	a
18	las
19	primeras
20	declaraciones
21	de
22	su
23	titular
24	,
25	Anna
26	Birulés
27	,
28	sobre
29	el
30	impulso
31	de
32	la
33	investigación
34	,
35	desarrollo
36	e
37	innovación
38	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	este	DET	3	det
3	sentido	NOUN	5	obl
4	se	PRON	5	expl:pv
5	refirió	VERB	0	root
6	a	ADP	9	case
7	la	DET	9	det
8	reciente	ADJ	9	amod
9	creación	NOUN	5	obj
10	del	ADP	11	case
11	Ministerio	PROPN	9	nmod
12	de	ADP	13	case
13	Ciencia	PROPN	11	flat
14	y	CCONJ	15	cc
15	Tecnología	PROPN	13	conj
16	y	CCONJ	20	cc
17	a	ADP	20	case
18	las	DET	20	det
19	primeras	ADJ	20	amod
20	declaraciones	NOUN	9	conj
21	de	ADP	23	case
22	su	DET	23	det
23	titular	NOUN	20	nmod
24	,	PUNCT	25	punct
25	Anna	PROPN	23	appos
26	Birulés	PROPN	25	flat
27	,	PUNCT	25	punct
28	sobre	ADP	30	case
29	el	DET	30	det
30	impulso	NOUN	20	nmod
31	de	ADP	33	case
32	la	DET	33	det
33	investigación	NOUN	30	nmod
34	,	PUNCT	35	punct
35	desarrollo	NOUN	33	appos
36	e	CCONJ	37	cc
37	innovación	NOUN	33	conj
38	.	PUNCT	5	punct