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 text: Podle údajů Úřadu pro hospodářské plánování se v prvním čtvrtletí současného finančního roku (duben-červen) hrubý národní produkt (HNP) Japonska zvýšil oproti předchozímu čtvrtletí o 0.3 procenta a proti stejnému čtvrtletí předchozího roku o 1.1 procenta.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	údajů	NOUN	26	obl
3	Úřadu	NOUN	2	nmod
4	pro	ADP	6	case
5	hospodářské	ADJ	6	amod
6	plánování	NOUN	3	nmod
7	se	PRON	26	expl:pass
8	v	ADP	10	case
9	prvním	ADJ	10	amod
10	čtvrtletí	NOUN	26	obl
11	současného	ADJ	13	amod
12	finančního	ADJ	13	amod
13	roku	NOUN	10	nmod
14	(	PUNCT	15	punct
15	duben	NOUN	10	nmod
16	-	PUNCT	17	punct
17	červen	NOUN	15	conj
18	)	PUNCT	15	punct
19	hrubý	ADJ	21	amod
20	národní	ADJ	21	amod
21	produkt	NOUN	26	nsubj:pass
22	(	PUNCT	23	punct
23	HNP	NOUN	21	appos
24	)	PUNCT	23	punct
25	Japonska	PROPN	21	nmod
26	zvýšil	VERB	0	root
27	oproti	ADP	29	case
28	předchozímu	ADJ	29	amod
29	čtvrtletí	NOUN	26	obl
30	o	ADP	32	case
31	0.3	NUM	32	nummod:gov
32	procenta	NOUN	26	obl:arg
33	_	_	None	_
34	a	CCONJ	36	cc
35	proti	ADP	36	case
36	stejnému	ADJ	36	amod
37	čtvrtletí	NOUN	26	conj
38	předchozího	ADJ	38	amod
39	roku	NOUN	36	nmod
40	o	ADP	41	case
41	1.1	NUM	41	nummod:gov
42	procenta	NOUN	36	orphan
43	.	PUNCT	26	punct