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: Japonsko včera oznámilo, že vytvoří fond jedné miliardy dolarů, z něhož bude v příštích deseti letech financovat projekty v oblasti kultury a výchovy kvalifikovaných kádrů v zemích, které utrpěly japonskou agresí před rokem 1945.
Position	Tokenization	UPOS	Head	Deprel
1	Japonsko	PROPN	3	nsubj
2	včera	ADV	3	advmod
3	oznámilo	VERB	0	root
4	,	PUNCT	6	punct
5	že	SCONJ	6	mark
6	vytvoří	VERB	3	ccomp
7	fond	NOUN	6	obj
8	jedné	NUM	9	nummod
9	miliardy	NOUN	7	nmod
10	dolarů	NOUN	9	nmod
11	,	PUNCT	19	punct
12	z	ADP	13	case
13	něhož	PRON	19	obl
14	bude	AUX	19	aux
15	v	ADP	18	case
16	příštích	ADJ	18	amod
17	deseti	NUM	18	nummod
18	letech	NOUN	19	obl
19	financovat	VERB	7	acl:relcl
20	projekty	NOUN	19	obj
21	v	ADP	23	case
22	oblasti	NOUN	21	fixed
23	kultury	NOUN	20	nmod
24	a	CCONJ	25	cc
25	výchovy	NOUN	23	conj
26	kvalifikovaných	ADJ	27	amod
27	kádrů	NOUN	23	nmod
28	v	ADP	29	case
29	zemích	NOUN	27	nmod
30	,	PUNCT	32	punct
31	které	DET	32	nsubj
32	utrpěly	VERB	29	acl:relcl
33	japonskou	ADJ	34	amod
34	agresí	NOUN	32	obl
35	před	ADP	36	case
36	rokem	NOUN	34	nmod
37	1945	NUM	36	nummod
38	.	PUNCT	3	punct