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:
Consideró "natural" esa reacción, ya que, "en el mercado capitalista", cuando una empresa gana, se alegra, lo que no sucede si pierde.
Postion	Tokenization
1	Consideró
2	"
3	natural
4	"
5	esa
6	reacción
7	,
8	ya
9	que
10	,
11	"
12	en
13	el
14	mercado
15	capitalista
16	"
17	,
18	cuando
19	una
20	empresa
21	gana
22	,
23	se
24	alegra
25	,
26	lo
27	que
28	no
29	sucede
30	si
31	pierde
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Consideró	VERB	0	root
2	"	PUNCT	3	punct
3	natural	ADJ	1	obj
4	"	PUNCT	3	punct
5	esa	DET	6	det
6	reacción	NOUN	1	obj
7	,	PUNCT	24	punct
8	ya	ADV	24	mark
9	que	SCONJ	8	fixed
10	,	PUNCT	14	punct
11	"	PUNCT	14	punct
12	en	ADP	14	case
13	el	DET	14	det
14	mercado	NOUN	24	obl
15	capitalista	ADJ	14	amod
16	"	PUNCT	14	punct
17	,	PUNCT	14	punct
18	cuando	SCONJ	21	mark
19	una	DET	20	det
20	empresa	NOUN	21	nsubj
21	gana	VERB	24	advcl
22	,	PUNCT	21	punct
23	se	PRON	24	expl:pv
24	alegra	VERB	1	advcl
25	,	PUNCT	29	punct
26	lo	PRON	29	det
27	que	PRON	29	nsubj
28	no	ADV	29	advmod
29	sucede	VERB	24	advcl
30	si	SCONJ	31	mark
31	pierde	VERB	29	advcl
32	.	PUNCT	1	punct