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:
Asimismo se asume que los sueldos deben empezar a subir, todo lo que se traduciría en mayores costos para las empresas, costos que podrían ser traspasados a los consumidores en forma de un alza de precios que traiga consigo una subida de la inflación.
Postion	Tokenization
1	Asimismo
2	se
3	asume
4	que
5	los
6	sueldos
7	deben
8	empezar
9	a
10	subir
11	,
12	todo
13	lo
14	que
15	se
16	traduciría
17	en
18	mayores
19	costos
20	para
21	las
22	empresas
23	,
24	costos
25	que
26	podrían
27	ser
28	traspasados
29	a
30	los
31	consumidores
32	en
33	forma
34	de
35	un
36	alza
37	de
38	precios
39	que
40	traiga
41	consigo
42	una
43	subida
44	de
45	la
46	inflación
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Asimismo	ADV	3	advmod
2	se	PRON	3	expl:pass
3	asume	VERB	0	root
4	que	SCONJ	8	mark
5	los	DET	6	det
6	sueldos	NOUN	8	nsubj
7	deben	AUX	8	aux
8	empezar	VERB	3	csubj
9	a	ADP	10	mark
10	subir	VERB	8	xcomp
11	,	PUNCT	16	punct
12	todo	DET	13	det
13	lo	PRON	16	det
14	que	PRON	16	nsubj
15	se	PRON	16	expl:pass
16	traduciría	VERB	3	advcl
17	en	ADP	19	case
18	mayores	ADJ	19	amod
19	costos	NOUN	16	obj
20	para	ADP	22	case
21	las	DET	22	det
22	empresas	NOUN	19	nmod
23	,	PUNCT	24	punct
24	costos	NOUN	19	appos
25	que	PRON	28	nsubj
26	podrían	AUX	28	aux
27	ser	AUX	28	aux
28	traspasados	VERB	24	acl
29	a	ADP	31	case
30	los	DET	31	det
31	consumidores	NOUN	28	obj
32	en	ADP	33	case
33	forma	NOUN	28	obl
34	de	ADP	36	case
35	un	DET	36	det
36	alza	NOUN	33	nmod
37	de	ADP	38	case
38	precios	NOUN	36	nmod
39	que	PRON	40	nsubj
40	traiga	VERB	36	acl
41	consigo	PRON	40	obl
42	una	DET	43	det
43	subida	NOUN	40	obj
44	de	ADP	46	case
45	la	DET	46	det
46	inflación	NOUN	43	nmod
47	.	PUNCT	3	punct