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:
"Queremos determinar cómo están los inventarios porque podríamos tener entonces un problema serio para el próximo año", durante cuyo segundo semestre se espera una bajada importante de los precios de acuerdo a los cálculos de los expertos.
Postion	Tokenization
1	"
2	Queremos
3	determinar
4	cómo
5	están
6	los
7	inventarios
8	porque
9	podríamos
10	tener
11	entonces
12	un
13	problema
14	serio
15	para
16	el
17	próximo
18	año
19	"
20	,
21	durante
22	cuyo
23	segundo
24	semestre
25	se
26	espera
27	una
28	bajada
29	importante
30	de
31	los
32	precios
33	de
34	acuerdo
35	a
36	los
37	cálculos
38	de
39	los
40	expertos
41	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Queremos	VERB	0	root
3	determinar	VERB	2	ccomp
4	cómo	PRON	5	obl
5	están	VERB	3	ccomp
6	los	DET	7	det
7	inventarios	NOUN	5	nsubj
8	porque	SCONJ	10	mark
9	podríamos	AUX	10	aux
10	tener	VERB	2	advcl
11	entonces	ADV	10	advmod
12	un	DET	13	det
13	problema	NOUN	10	obj
14	serio	ADJ	13	amod
15	para	ADP	18	case
16	el	DET	18	det
17	próximo	ADJ	18	amod
18	año	NOUN	10	obl
19	"	PUNCT	26	punct
20	,	PUNCT	26	punct
21	durante	ADP	24	case
22	cuyo	PRON	24	nmod
23	segundo	ADJ	24	amod
24	semestre	NOUN	26	obl
25	se	PRON	26	expl:pass
26	espera	VERB	18	acl
27	una	DET	28	det
28	bajada	NOUN	26	nsubj
29	importante	ADJ	28	amod
30	de	ADP	32	case
31	los	DET	32	det
32	precios	NOUN	28	nmod
33	de	ADP	37	case
34	acuerdo	NOUN	33	fixed
35	a	ADP	33	fixed
36	los	DET	37	det
37	cálculos	NOUN	28	nmod
38	de	ADP	40	case
39	los	DET	40	det
40	expertos	NOUN	37	nmod
41	.	PUNCT	2	punct