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:
Aunque el mercado carece de alma, hay razones para evitar la condena a muerte laboral de personas bien capacitadas para su profesión.
Postion	Tokenization
1	Aunque
2	el
3	mercado
4	carece
5	de
6	alma
7	,
8	hay
9	razones
10	para
11	evitar
12	la
13	condena
14	a
15	muerte
16	laboral
17	de
18	personas
19	bien
20	capacitadas
21	para
22	su
23	profesión
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Aunque	SCONJ	4	mark
2	el	DET	3	det
3	mercado	NOUN	4	nsubj
4	carece	VERB	8	advcl
5	de	ADP	6	case
6	alma	NOUN	4	obj
7	,	PUNCT	4	punct
8	hay	AUX	0	root
9	razones	NOUN	8	obj
10	para	ADP	11	mark
11	evitar	VERB	8	advcl
12	la	DET	13	det
13	condena	NOUN	11	obj
14	a	ADP	13	advmod
15	muerte	NOUN	14	fixed
16	laboral	ADJ	13	amod
17	de	ADP	18	case
18	personas	NOUN	13	nmod
19	bien	ADV	20	advmod
20	capacitadas	ADJ	18	amod
21	para	ADP	23	case
22	su	DET	23	det
23	profesión	NOUN	20	obl
24	.	PUNCT	8	punct