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:
La provincia británica fue autorizada a exportar carne de vacuno hace más de un año, en junio de 1998, porque la epidemia causó allí menos estragos, pero sus ventas siguen siendo casi nulas.
Postion	Tokenization
1	La
2	provincia
3	británica
4	fue
5	autorizada
6	a
7	exportar
8	carne
9	de
10	vacuno
11	hace
12	más
13	de
14	un
15	año
16	,
17	en
18	junio
19	de
20	1998
21	,
22	porque
23	la
24	epidemia
25	causó
26	allí
27	menos
28	estragos
29	,
30	pero
31	sus
32	ventas
33	siguen
34	siendo
35	casi
36	nulas
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	provincia	NOUN	5	nsubj
3	británica	ADJ	2	amod
4	fue	AUX	5	aux
5	autorizada	VERB	0	root
6	a	ADP	7	mark
7	exportar	VERB	5	xcomp
8	carne	NOUN	7	obj
9	de	ADP	10	case
10	vacuno	NOUN	8	nmod
11	hace	VERB	5	advcl
12	más	ADV	15	advmod
13	de	ADP	15	case
14	un	DET	15	det
15	año	NOUN	11	obj
16	,	PUNCT	18	punct
17	en	ADP	18	case
18	junio	NOUN	15	nmod
19	de	ADP	20	case
20	1998	NUM	18	compound
21	,	PUNCT	18	punct
22	porque	SCONJ	25	mark
23	la	DET	24	det
24	epidemia	NOUN	25	nsubj
25	causó	VERB	5	advcl
26	allí	ADV	25	advmod
27	menos	ADV	28	advmod
28	estragos	NOUN	25	obj
29	,	PUNCT	33	punct
30	pero	CCONJ	33	cc
31	sus	DET	32	det
32	ventas	NOUN	33	nsubj
33	siguen	VERB	25	conj
34	siendo	AUX	36	cop
35	casi	ADV	33	advmod
36	nulas	ADJ	33	xcomp
37	.	PUNCT	5	punct