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:
Jde o 2.3 procenta hrubého národního produktu Japonska a očekává se, že v období 12 měsíců od října se díky této výpomoci zvýší tempo růstu o 2.4 procenta.
Postion	Tokenization
1	Jde
2	o
3	2.3
4	procenta
5	hrubého
6	národního
7	produktu
8	Japonska
9	a
10	očekává
11	se
12	,
13	že
14	v
15	období
16	12
17	měsíců
18	od
19	října
20	se
21	díky
22	této
23	výpomoci
24	zvýší
25	tempo
26	růstu
27	o
28	2.4
29	procenta
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Jde	VERB	0	root
2	o	ADP	4	case
3	2.3	NUM	4	nummod:gov
4	procenta	NOUN	1	obl:arg
5	hrubého	ADJ	7	amod
6	národního	ADJ	7	amod
7	produktu	NOUN	4	nmod
8	Japonska	PROPN	7	nmod
9	a	CCONJ	10	cc
10	očekává	VERB	1	conj
11	se	PRON	10	expl:pass
12	,	PUNCT	24	punct
13	že	SCONJ	24	mark
14	v	ADP	15	case
15	období	NOUN	24	obl
16	12	NUM	17	nummod
17	měsíců	NOUN	15	nmod
18	od	ADP	19	case
19	října	NOUN	17	nmod
20	se	PRON	24	expl:pass
21	díky	ADP	23	case
22	této	DET	23	det
23	výpomoci	NOUN	24	obl
24	zvýší	VERB	10	csubj:pass
25	tempo	NOUN	24	nsubj:pass
26	růstu	NOUN	25	nmod
27	o	ADP	29	case
28	2.4	NUM	29	nummod:gov
29	procenta	NOUN	24	obl
30	.	PUNCT	1	punct