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:
Por su parte, la ministra Anna Birulés animó a las pymes a invertir en Investigación y Desarrollo y mostró a los empresarios presentes la disposición del Gobierno a facilitar este camino.
Postion	Tokenization
1	Por
2	su
3	parte
4	,
5	la
6	ministra
7	Anna
8	Birulés
9	animó
10	a
11	las
12	pymes
13	a
14	invertir
15	en
16	Investigación
17	y
18	Desarrollo
19	y
20	mostró
21	a
22	los
23	empresarios
24	presentes
25	la
26	disposición
27	del
28	Gobierno
29	a
30	facilitar
31	este
32	camino
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	su	DET	3	det
3	parte	NOUN	9	obl
4	,	PUNCT	3	punct
5	la	DET	6	det
6	ministra	NOUN	9	nsubj
7	Anna	PROPN	6	appos
8	Birulés	PROPN	7	flat
9	animó	VERB	0	root
10	a	ADP	12	case
11	las	DET	12	det
12	pymes	NOUN	9	obj
13	a	ADP	14	mark
14	invertir	VERB	9	advcl
15	en	ADP	16	case
16	Investigación	PROPN	14	obl
17	y	CCONJ	18	cc
18	Desarrollo	PROPN	16	conj
19	y	CCONJ	20	cc
20	mostró	VERB	9	conj
21	a	ADP	23	case
22	los	DET	23	det
23	empresarios	NOUN	20	obj
24	presentes	ADJ	23	amod
25	la	DET	26	det
26	disposición	NOUN	20	obj
27	del	ADP	28	case
28	Gobierno	PROPN	26	nmod
29	a	ADP	30	mark
30	facilitar	VERB	26	acl
31	este	DET	32	det
32	camino	NOUN	30	obj
33	.	PUNCT	9	punct