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:
Aznar insistió en que "en España, hay precios menores y una fiscalidad más baja" y dijo que los carburantes han subido menos que en los demás países (no así en porcentaje).
Postion	Tokenization
1	Aznar
2	insistió
3	en
4	que
5	"
6	en
7	España
8	,
9	hay
10	precios
11	menores
12	y
13	una
14	fiscalidad
15	más
16	baja
17	"
18	y
19	dijo
20	que
21	los
22	carburantes
23	han
24	subido
25	menos
26	que
27	en
28	los
29	demás
30	países
31	(
32	no
33	así
34	en
35	porcentaje
36	)
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Aznar	PROPN	2	nsubj
2	insistió	VERB	0	root
3	en	ADP	9	mark
4	que	SCONJ	9	mark
5	"	PUNCT	9	punct
6	en	ADP	7	case
7	España	PROPN	9	obl
8	,	PUNCT	7	punct
9	hay	AUX	2	ccomp
10	precios	NOUN	9	obj
11	menores	ADJ	10	amod
12	y	CCONJ	14	cc
13	una	DET	14	det
14	fiscalidad	NOUN	10	conj
15	más	ADV	16	advmod
16	baja	ADJ	14	amod
17	"	PUNCT	9	punct
18	y	CCONJ	19	cc
19	dijo	VERB	2	conj
20	que	SCONJ	24	mark
21	los	DET	22	det
22	carburantes	NOUN	24	nsubj
23	han	AUX	24	aux
24	subido	VERB	19	ccomp
25	menos	ADV	24	advmod
26	que	SCONJ	30	mark
27	en	ADP	30	case
28	los	DET	30	det
29	demás	DET	28	det
30	países	NOUN	25	obl
31	(	PUNCT	32	punct
32	no	ADV	24	advmod
33	así	ADV	32	dep
34	en	ADP	32	case
35	porcentaje	NOUN	32	nmod
36	)	PUNCT	32	punct
37	.	PUNCT	2	punct