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:
Los precios de venta industriales en los bienes de equipo subieron un 0,1 por ciento el mes pasado (1,2 por ciento interanual), al igual que los de la industria automovilística.
Postion	Tokenization
1	Los
2	precios
3	de
4	venta
5	industriales
6	en
7	los
8	bienes
9	de
10	equipo
11	subieron
12	un
13	0,1
14	por
15	ciento
16	el
17	mes
18	pasado
19	(
20	1,2
21	por
22	ciento
23	interanual
24	)
25	,
26	al
27	igual
28	que
29	los
30	de
31	la
32	industria
33	automovilística
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	precios	NOUN	11	nsubj
3	de	ADP	4	case
4	venta	NOUN	2	nmod
5	industriales	ADJ	2	amod
6	en	ADP	8	case
7	los	DET	8	det
8	bienes	NOUN	2	nmod
9	de	ADP	10	case
10	equipo	NOUN	8	nmod
11	subieron	VERB	26	parataxis
12	un	DET	13	det
13	0,1	NUM	11	obj
14	por	ADP	15	case
15	ciento	NUM	13	compound
16	el	DET	17	det
17	mes	NOUN	11	obl
18	pasado	ADJ	17	amod
19	(	PUNCT	20	punct
20	1,2	NUM	11	obj
21	por	ADP	22	case
22	ciento	NUM	20	compound
23	interanual	ADJ	20	amod
24	)	PUNCT	20	punct
25	,	PUNCT	26	punct
26	al	ADP	0	root
27	igual	ADJ	26	fixed
28	que	SCONJ	26	fixed
29	los	DET	26	det
30	de	ADP	29	case
31	la	DET	32	det
32	industria	NOUN	29	parataxis
33	automovilística	ADJ	32	amod
34	.	PUNCT	26	punct