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:
Mucho de esto se debe a que el trabajo también tiene el carácter de mercancía que se compra y vende en un mercado competitivo.
Postion	Tokenization
1	Mucho
2	de
3	esto
4	se
5	debe
6	a
7	que
8	el
9	trabajo
10	también
11	tiene
12	el
13	carácter
14	de
15	mercancía
16	que
17	se
18	compra
19	y
20	vende
21	en
22	un
23	mercado
24	competitivo
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Mucho	ADV	5	nsubj
2	de	ADP	1	case
3	esto	PRON	1	nmod
4	se	PRON	5	expl:pv
5	debe	VERB	0	root
6	a	ADP	11	mark
7	que	SCONJ	11	mark
8	el	DET	9	det
9	trabajo	NOUN	11	nsubj
10	también	ADV	11	advmod
11	tiene	VERB	5	ccomp
12	el	DET	13	det
13	carácter	NOUN	11	obj
14	de	ADP	15	case
15	mercancía	NOUN	13	nmod
16	que	PRON	18	nsubj
17	se	PRON	18	expl:impers
18	compra	VERB	15	acl
19	y	CCONJ	20	cc
20	vende	VERB	18	conj
21	en	ADP	23	case
22	un	DET	23	det
23	mercado	NOUN	18	obl
24	competitivo	ADJ	23	amod
25	.	PUNCT	5	punct