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:
Na program USAID ve střední a východní Evropě bylo vyčleněno celkem 4.5 miliardy USD, z nichž však pouze nepatrný zlomek byl využit v rámci pomoci v České republice.
Postion	Tokenization
1	Na
2	program
3	USAID
4	ve
5	střední
6	a
7	východní
8	Evropě
9	bylo
10	vyčleněno
11	celkem
12	4.5
13	miliardy
14	USD
15	,
16	z
17	nichž
18	však
19	pouze
20	nepatrný
21	zlomek
22	byl
23	využit
24	v
25	rámci
26	pomoci
27	v
28	České
29	republice
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	program	NOUN	10	obl:arg
3	USAID	PROPN	2	nmod
4	ve	ADP	8	case
5	střední	ADJ	8	amod
6	a	CCONJ	7	cc
7	východní	ADJ	5	conj
8	Evropě	PROPN	2	nmod
9	bylo	AUX	10	aux:pass
10	vyčleněno	ADJ	0	root
11	celkem	ADV	12	advmod:emph
12	4.5	NUM	13	nummod:gov
13	miliardy	NOUN	10	nsubj:pass
14	USD	NOUN	13	nmod
15	,	PUNCT	23	punct
16	z	ADP	17	case
17	nichž	PRON	23	obl
18	však	CCONJ	23	cc
19	pouze	ADV	21	advmod:emph
20	nepatrný	ADJ	21	amod
21	zlomek	NOUN	23	nsubj:pass
22	byl	AUX	23	aux:pass
23	využit	ADJ	14	amod
24	v	ADP	26	case
25	rámci	NOUN	24	fixed
26	pomoci	NOUN	23	obl
27	v	ADP	29	case
28	České	ADJ	29	amod
29	republice	NOUN	23	obl
30	.	PUNCT	10	punct