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 problema es doble porque no sólo hay dificultades con el abastecimiento, sino que también la gente está comprando más carburante de lo normal", afirmó una portavoz de BP Amoco.
Postion	Tokenization
1	"
2	El
3	problema
4	es
5	doble
6	porque
7	no
8	sólo
9	hay
10	dificultades
11	con
12	el
13	abastecimiento
14	,
15	sino
16	que
17	también
18	la
19	gente
20	está
21	comprando
22	más
23	carburante
24	de
25	lo
26	normal
27	"
28	,
29	afirmó
30	una
31	portavoz
32	de
33	BP
34	Amoco
35	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	El	DET	3	det
3	problema	NOUN	5	nsubj
4	es	AUX	5	cop
5	doble	ADJ	29	ccomp
6	porque	SCONJ	5	mark
7	no	PART	9	cc
8	sólo	ADV	7	fixed
9	hay	AUX	6	conj
10	dificultades	NOUN	9	obj
11	con	ADP	13	case
12	el	DET	13	det
13	abastecimiento	NOUN	10	nmod
14	,	PUNCT	21	punct
15	sino	CCONJ	21	cc
16	que	SCONJ	15	fixed
17	también	ADV	21	advmod
18	la	DET	19	det
19	gente	NOUN	21	nsubj
20	está	AUX	21	aux
21	comprando	VERB	6	conj
22	más	ADV	23	advmod
23	carburante	NOUN	21	obj
24	de	ADP	26	case
25	lo	PRON	26	det
26	normal	ADJ	23	amod
27	"	PUNCT	5	punct
28	,	PUNCT	5	punct
29	afirmó	VERB	0	root
30	una	DET	31	det
31	portavoz	NOUN	29	nsubj
32	de	ADP	33	case
33	BP	PROPN	31	nmod
34	Amoco	PROPN	33	flat
35	.	PUNCT	29	punct