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:
Z celkem 2.5 mil . ECU určených na podporu českého exportu je z programu PHARE určen další milion ECU na projekt školení manažerů malých a středních podniků .
Postion	Tokenization
1	Z
2	celkem
3	2.5
4	mil
5	.
6	ECU
7	určených
8	na
9	podporu
10	českého
11	exportu
12	je
13	z
14	programu
15	PHARE
16	určen
17	další
18	milion
19	ECU
20	na
21	projekt
22	školení
23	manažerů
24	malých
25	a
26	středních
27	podniků
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	6	case
2	celkem	ADV	3	advmod:emph
3	2.5	NUM	6	nummod
4	mil	NOUN	3	nmod
5	.	PUNCT	4	punct
6	ECU	NOUN	16	obl
7	určených	ADJ	6	amod
8	na	ADP	9	case
9	podporu	NOUN	7	obl:arg
10	českého	ADJ	11	amod
11	exportu	NOUN	9	nmod
12	je	AUX	16	aux:pass
13	z	ADP	14	case
14	programu	NOUN	16	obl
15	PHARE	PROPN	14	nmod
16	určen	ADJ	0	root
17	další	ADJ	18	amod
18	milion	NOUN	16	nsubj:pass
19	ECU	NOUN	18	nmod
20	na	ADP	21	case
21	projekt	NOUN	16	obl:arg
22	školení	NOUN	21	nmod
23	manažerů	NOUN	22	nmod
24	malých	ADJ	27	amod
25	a	CCONJ	26	cc
26	středních	ADJ	24	conj
27	podniků	NOUN	23	nmod
28	.	PUNCT	16	punct