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 pasado año las importaciones españolas de México se cifraron en 280.000 millones de pesetas - - el 60% en petróleo - -, y la exportación rozó los 250.000 millones.
Postion	Tokenization
1	El
2	pasado
3	año
4	las
5	importaciones
6	españolas
7	de
8	México
9	se
10	cifraron
11	en
12	280.000
13	millones
14	de
15	pesetas
16	-
17	-
18	el
19	60%
20	en
21	petróleo
22	-
23	-
24	,
25	y
26	la
27	exportación
28	rozó
29	los
30	250.000
31	millones
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	pasado	ADJ	3	amod
3	año	NOUN	10	obl
4	las	DET	5	det
5	importaciones	NOUN	10	nsubj
6	españolas	ADJ	5	amod
7	de	ADP	8	case
8	México	PROPN	5	nmod
9	se	PRON	10	expl:pass
10	cifraron	VERB	0	root
11	en	ADP	13	case
12	280.000	NUM	13	nummod
13	millones	NOUN	10	obj
14	de	ADP	15	case
15	pesetas	NOUN	13	nmod
16	-	PUNCT	19	punct
17	-	PUNCT	19	punct
18	el	DET	19	det
19	60%	SYM	13	appos
20	en	ADP	21	case
21	petróleo	NOUN	19	nmod
22	-	PUNCT	19	punct
23	-	PUNCT	19	punct
24	,	PUNCT	19	punct
25	y	CCONJ	28	cc
26	la	DET	27	det
27	exportación	NOUN	28	nsubj
28	rozó	VERB	10	conj
29	los	DET	30	det
30	250.000	NUM	31	nummod
31	millones	NOUN	28	obj
32	.	PUNCT	10	punct