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:
A menudo hay gente que se calla lo que sabe, pero no lo hace para obtener un beneficio económico.
Postion	Tokenization
1	A
2	menudo
3	hay
4	gente
5	que
6	se
7	calla
8	lo
9	que
10	sabe
11	,
12	pero
13	no
14	lo
15	hace
16	para
17	obtener
18	un
19	beneficio
20	económico
21	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	advmod
2	menudo	NOUN	1	fixed
3	hay	AUX	0	root
4	gente	NOUN	3	obj
5	que	PRON	7	nsubj
6	se	PRON	7	expl:pv
7	calla	VERB	4	acl
8	lo	PRON	10	det
9	que	PRON	10	obj
10	sabe	VERB	7	ccomp
11	,	PUNCT	15	punct
12	pero	CCONJ	15	cc
13	no	ADV	15	advmod
14	lo	PRON	15	obj
15	hace	VERB	3	conj
16	para	ADP	17	mark
17	obtener	VERB	15	advcl
18	un	DET	19	det
19	beneficio	NOUN	17	obj
20	económico	ADJ	19	amod
21	.	PUNCT	3	punct