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:
Maďarská národní banka devalvovala forint o osm procent vůči západním měnám, aby zpomalila zadlužování země a zlepšila její konkurenceschopnost na zahraničních trzích.
Postion	Tokenization
1	Maďarská
2	národní
3	banka
4	devalvovala
5	forint
6	o
7	osm
8	procent
9	vůči
10	západním
11	měnám
12	,
13	aby
14	aby
15	by
16	zpomalila
17	zadlužování
18	země
19	a
20	zlepšila
21	její
22	konkurenceschopnost
23	na
24	zahraničních
25	trzích
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Maďarská	ADJ	3	amod
2	národní	ADJ	3	amod
3	banka	NOUN	4	nsubj
4	devalvovala	VERB	0	root
5	forint	NOUN	4	obj
6	o	ADP	8	case
7	osm	NUM	8	nummod:gov
8	procent	NOUN	4	obl
9	vůči	ADP	11	case
10	západním	ADJ	11	amod
11	měnám	NOUN	4	obl
12	,	PUNCT	15	punct
13	aby	_	None	_
14	aby	SCONJ	15	mark
15	by	AUX	15	aux
16	zpomalila	VERB	4	advcl
17	zadlužování	NOUN	15	obj
18	země	NOUN	16	nmod
19	a	CCONJ	19	cc
20	zlepšila	VERB	15	conj
21	její	DET	21	det
22	konkurenceschopnost	NOUN	19	obj
23	na	ADP	24	case
24	zahraničních	ADJ	24	amod
25	trzích	NOUN	21	nmod
26	.	PUNCT	4	punct