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 referéndum ha sido en Dinamarca", dijo Rato al ser preguntado sobre si el resultado negativo aleja a suecos y británicos de la moneda única.
Postion	Tokenization
1	"
2	El
3	referéndum
4	ha
5	sido
6	en
7	Dinamarca
8	"
9	,
10	dijo
11	Rato
12	al
13	ser
14	preguntado
15	sobre
16	si
17	el
18	resultado
19	negativo
20	aleja
21	a
22	suecos
23	y
24	británicos
25	de
26	la
27	moneda
28	única
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	El	DET	3	det
3	referéndum	NOUN	5	nsubj
4	ha	AUX	10	aux
5	sido	AUX	10	ccomp
6	en	ADP	7	case
7	Dinamarca	PROPN	5	obl
8	"	PUNCT	5	punct
9	,	PUNCT	5	punct
10	dijo	VERB	0	root
11	Rato	PROPN	10	nsubj
12	al	ADP	14	mark
13	ser	AUX	14	aux
14	preguntado	VERB	10	advcl
15	sobre	ADP	20	mark
16	si	SCONJ	20	mark
17	el	DET	18	det
18	resultado	NOUN	20	nsubj
19	negativo	ADJ	18	amod
20	aleja	VERB	14	ccomp
21	a	ADP	22	case
22	suecos	NOUN	20	obj
23	y	CCONJ	24	cc
24	británicos	NOUN	22	conj
25	de	ADP	27	case
26	la	DET	27	det
27	moneda	NOUN	20	obl
28	única	ADJ	27	amod
29	.	PUNCT	10	punct