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:
En los bienes intermedios, el encarecimiento fue del 0,3 por ciento en octubre, debido sobre todo a los productos de madera, papel o cartón, y un 4,9 por ciento en un año.
Postion	Tokenization
1	En
2	los
3	bienes
4	intermedios
5	,
6	el
7	encarecimiento
8	fue
9	del
10	0,3
11	por
12	ciento
13	en
14	octubre
15	,
16	debido
17	sobre
18	todo
19	a
20	los
21	productos
22	de
23	madera
24	,
25	papel
26	o
27	cartón
28	,
29	y
30	un
31	4,9
32	por
33	ciento
34	en
35	un
36	año
37	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	los	DET	3	det
3	bienes	NOUN	10	obl
4	intermedios	ADJ	3	amod
5	,	PUNCT	3	punct
6	el	DET	7	det
7	encarecimiento	NOUN	10	nsubj
8	fue	AUX	10	cop
9	del	ADP	10	case
10	0,3	NUM	0	root
11	por	ADP	12	case
12	ciento	NUM	10	compound
13	en	ADP	14	case
14	octubre	NOUN	10	obl
15	,	PUNCT	16	punct
16	debido	ADJ	10	advcl
17	sobre	ADP	18	case
18	todo	PRON	16	obl
19	a	ADP	21	case
20	los	DET	21	det
21	productos	NOUN	16	obl
22	de	ADP	23	case
23	madera	NOUN	21	nmod
24	,	PUNCT	25	punct
25	papel	NOUN	23	conj
26	o	CCONJ	27	cc
27	cartón	NOUN	23	conj
28	,	PUNCT	16	punct
29	y	CCONJ	31	cc
30	un	DET	31	det
31	4,9	NUM	10	conj
32	por	ADP	33	case
33	ciento	NUM	31	compound
34	en	ADP	36	case
35	un	DET	36	det
36	año	NOUN	31	nmod
37	.	PUNCT	10	punct