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:
En la asamblea también se criticó la elevada cifra de exportaciones brasileñas de contrabando que llegan a Uruguay por las grandes diferencias de precios.
Postion	Tokenization
1	En
2	la
3	asamblea
4	también
5	se
6	criticó
7	la
8	elevada
9	cifra
10	de
11	exportaciones
12	brasileñas
13	de
14	contrabando
15	que
16	llegan
17	a
18	Uruguay
19	por
20	las
21	grandes
22	diferencias
23	de
24	precios
25	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	asamblea	NOUN	6	obl
4	también	ADV	6	advmod
5	se	PRON	6	expl:pass
6	criticó	VERB	0	root
7	la	DET	9	det
8	elevada	ADJ	9	amod
9	cifra	NOUN	6	nsubj
10	de	ADP	11	case
11	exportaciones	NOUN	9	nmod
12	brasileñas	ADJ	11	amod
13	de	ADP	14	case
14	contrabando	NOUN	11	nmod
15	que	PRON	16	nsubj
16	llegan	VERB	11	acl
17	a	ADP	18	case
18	Uruguay	PROPN	16	obl
19	por	ADP	22	case
20	las	DET	22	det
21	grandes	ADJ	22	amod
22	diferencias	NOUN	6	obl
23	de	ADP	24	case
24	precios	NOUN	22	nmod
25	.	PUNCT	6	punct