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:
Después la propia competencia y la ley de mercado acabará derivando en una rebaja de los precios o en un sistema más justo para que no paguen justos por pecadores.
Postion	Tokenization
1	Después
2	la
3	propia
4	competencia
5	y
6	la
7	ley
8	de
9	mercado
10	acabará
11	derivando
12	en
13	una
14	rebaja
15	de
16	los
17	precios
18	o
19	en
20	un
21	sistema
22	más
23	justo
24	para
25	que
26	no
27	paguen
28	justos
29	por
30	pecadores
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Después	ADV	10	advmod
2	la	DET	4	det
3	propia	DET	2	det
4	competencia	NOUN	10	nsubj
5	y	CCONJ	7	cc
6	la	DET	7	det
7	ley	NOUN	4	conj
8	de	ADP	9	case
9	mercado	NOUN	7	nmod
10	acabará	VERB	0	root
11	derivando	VERB	10	xcomp
12	en	ADP	14	case
13	una	DET	14	det
14	rebaja	NOUN	11	obj
15	de	ADP	17	case
16	los	DET	17	det
17	precios	NOUN	14	nmod
18	o	CCONJ	21	cc
19	en	ADP	21	case
20	un	DET	21	det
21	sistema	NOUN	14	conj
22	más	ADV	23	advmod
23	justo	ADJ	21	amod
24	para	ADP	27	mark
25	que	SCONJ	27	mark
26	no	ADV	27	advmod
27	paguen	VERB	11	advcl
28	justos	ADJ	27	nsubj
29	por	ADP	30	case
30	pecadores	NOUN	27	obl
31	.	PUNCT	10	punct