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 Ministerio de Economía informó hoy de que el aumento de los precios al consumidor en agosto pasado experimentaron un alza de un 0,4 por ciento, en relación con el mes anterior.
Postion	Tokenization
1	El
2	Ministerio
3	de
4	Economía
5	informó
6	hoy
7	de
8	que
9	el
10	aumento
11	de
12	los
13	precios
14	al
15	consumidor
16	en
17	agosto
18	pasado
19	experimentaron
20	un
21	alza
22	de
23	un
24	0,4
25	por
26	ciento
27	,
28	en
29	relación
30	con
31	el
32	mes
33	anterior
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Ministerio	PROPN	5	nsubj
3	de	ADP	4	case
4	Economía	PROPN	2	flat
5	informó	VERB	0	root
6	hoy	ADV	5	advmod
7	de	ADP	19	mark
8	que	SCONJ	19	mark
9	el	DET	10	det
10	aumento	NOUN	19	nsubj
11	de	ADP	13	case
12	los	DET	13	det
13	precios	NOUN	10	nmod
14	al	ADP	15	case
15	consumidor	NOUN	13	nmod
16	en	ADP	17	case
17	agosto	NOUN	10	nmod
18	pasado	ADJ	17	amod
19	experimentaron	VERB	5	ccomp
20	un	DET	21	det
21	alza	NOUN	19	obj
22	de	ADP	24	case
23	un	DET	24	det
24	0,4	NUM	21	nummod
25	por	ADP	26	case
26	ciento	NUM	24	compound
27	,	PUNCT	32	punct
28	en	ADP	32	case
29	relación	NOUN	28	fixed
30	con	ADP	28	fixed
31	el	DET	32	det
32	mes	NOUN	19	obl
33	anterior	ADJ	32	amod
34	.	PUNCT	5	punct