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:
V letošním roce bude příspěvek činit 7.25 miliardy ATS, v příštím roce 4.71 miliardy ATS, v roce 1997 to bude 2.9 miliardy ATS a v roce 1998 1.09 miliardy ATS.
Postion	Tokenization
1	V
2	letošním
3	roce
4	bude
5	příspěvek
6	činit
7	7.25
8	miliardy
9	ATS
10	_
11	,
12	v
13	příštím
14	roce
15	4.71
16	miliardy
17	ATS
18	,
19	v
20	roce
21	1997
22	to
23	bude
24	2.9
25	miliardy
26	ATS
27	a
28	v
29	roce
30	1998
31	1.09
32	miliardy
33	ATS
34	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	letošním	ADJ	3	amod
3	roce	NOUN	6	obl
4	bude	AUX	6	aux
5	příspěvek	NOUN	6	nsubj
6	činit	VERB	0	root
7	7.25	NUM	8	nummod:gov
8	miliardy	NOUN	6	obj
9	ATS	NOUN	8	nmod
10	_	_	None	_
11	,	PUNCT	13	punct
12	v	ADP	13	case
13	příštím	ADJ	13	amod
14	roce	NOUN	6	conj
15	4.71	NUM	15	nummod:gov
16	miliardy	NOUN	13	orphan
17	ATS	NOUN	15	nmod
18	,	PUNCT	24	punct
19	v	ADP	19	case
20	roce	NOUN	24	obl
21	1997	NUM	19	nummod
22	to	DET	24	nsubj
23	bude	AUX	24	cop
24	2.9	NUM	24	nummod:gov
25	miliardy	NOUN	6	conj
26	ATS	NOUN	24	nmod
27	a	CCONJ	24	cc
28	v	ADP	28	case
29	roce	NOUN	13	orphan
30	1998	NUM	28	nummod
31	1.09	NUM	31	nummod:gov
32	miliardy	NOUN	13	orphan
33	ATS	NOUN	31	nmod
34	.	PUNCT	6	punct