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 resultado del referéndum "no tendrá consecuencias sobre el euro porque Dinamarca sólo representa el 2,7 por ciento del Producto Interior Bruto (PIB) europeo", afirmó.
Postion	Tokenization
1	El
2	resultado
3	del
4	referéndum
5	"
6	no
7	tendrá
8	consecuencias
9	sobre
10	el
11	euro
12	porque
13	Dinamarca
14	sólo
15	representa
16	el
17	2,7
18	por
19	ciento
20	del
21	Producto
22	Interior
23	Bruto
24	(
25	PIB
26	)
27	europeo
28	"
29	,
30	afirmó
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	resultado	NOUN	7	nsubj
3	del	ADP	4	case
4	referéndum	NOUN	2	nmod
5	"	PUNCT	7	punct
6	no	ADV	7	advmod
7	tendrá	VERB	30	ccomp
8	consecuencias	NOUN	7	obj
9	sobre	ADP	11	case
10	el	DET	11	det
11	euro	NOUN	8	nmod
12	porque	SCONJ	15	mark
13	Dinamarca	PROPN	15	nsubj
14	sólo	ADV	15	advmod
15	representa	VERB	7	advcl
16	el	DET	17	det
17	2,7	NUM	15	obj
18	por	ADP	19	case
19	ciento	NUM	17	compound
20	del	ADP	21	case
21	Producto	PROPN	17	nmod
22	Interior	PROPN	21	flat
23	Bruto	PROPN	21	flat
24	(	PUNCT	25	punct
25	PIB	PROPN	21	flat
26	)	PUNCT	25	punct
27	europeo	ADJ	21	amod
28	"	PUNCT	7	punct
29	,	PUNCT	7	punct
30	afirmó	VERB	0	root
31	.	PUNCT	30	punct