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:
O 16.3 miliardy Kč byl úspěšnější český vývoz také v evropských státech s přechodovou ekonomikou, bez započtení zemí bývalého SSSR.
Postion	Tokenization
1	O
2	16.3
3	miliardy
4	Kč
5	byl
6	úspěšnější
7	český
8	vývoz
9	také
10	v
11	evropských
12	státech
13	s
14	přechodovou
15	ekonomikou
16	,
17	bez
18	započtení
19	zemí
20	bývalého
21	SSSR
22	.
Position	Tokenization	UPOS	Head	Deprel
1	O	ADP	3	case
2	16.3	NUM	3	nummod:gov
3	miliardy	NOUN	6	obl
4	Kč	NOUN	3	nmod
5	byl	AUX	6	cop
6	úspěšnější	ADJ	0	root
7	český	ADJ	8	amod
8	vývoz	NOUN	6	nsubj
9	také	ADV	6	advmod
10	v	ADP	12	case
11	evropských	ADJ	12	amod
12	státech	NOUN	6	obl
13	s	ADP	15	case
14	přechodovou	ADJ	15	amod
15	ekonomikou	NOUN	12	nmod
16	,	PUNCT	18	punct
17	bez	ADP	18	case
18	započtení	NOUN	6	obl
19	zemí	NOUN	18	nmod
20	bývalého	ADJ	21	amod
21	SSSR	PROPN	19	nmod
22	.	PUNCT	6	punct