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:
Birulés afirmó que las pequeñas y medianas empresas son "el futuro" del país por su capacidad para innovar y entroncar con los cambios que está comportando la nueva economía.
Postion	Tokenization
1	Birulés
2	afirmó
3	que
4	las
5	pequeñas
6	y
7	medianas
8	empresas
9	son
10	"
11	el
12	futuro
13	"
14	del
15	país
16	por
17	su
18	capacidad
19	para
20	innovar
21	y
22	entroncar
23	con
24	los
25	cambios
26	que
27	está
28	comportando
29	la
30	nueva
31	economía
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Birulés	PROPN	2	nsubj
2	afirmó	VERB	0	root
3	que	SCONJ	12	mark
4	las	DET	8	det
5	pequeñas	ADJ	8	amod
6	y	CCONJ	7	cc
7	medianas	ADJ	5	conj
8	empresas	NOUN	12	nsubj
9	son	AUX	12	cop
10	"	PUNCT	12	punct
11	el	DET	12	det
12	futuro	NOUN	2	ccomp
13	"	PUNCT	12	punct
14	del	ADP	15	case
15	país	NOUN	12	nmod
16	por	ADP	18	case
17	su	DET	18	det
18	capacidad	NOUN	12	obl
19	para	ADP	20	mark
20	innovar	VERB	18	acl
21	y	CCONJ	22	cc
22	entroncar	VERB	20	conj
23	con	ADP	25	case
24	los	DET	25	det
25	cambios	NOUN	22	obj
26	que	PRON	28	obj
27	está	AUX	28	aux
28	comportando	VERB	25	acl
29	la	DET	31	det
30	nueva	ADJ	31	amod
31	economía	NOUN	28	nsubj
32	.	PUNCT	2	punct