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:
Státní tajemník ministerstva Károly Attila Soós uvedl, že největší část z této sumy, 29 miliónů ECU, bude použita na rozšíření a modernizaci infrastruktury ekonomiky.
Postion	Tokenization
1	Státní
2	tajemník
3	ministerstva
4	Károly
5	Attila
6	Soós
7	uvedl
8	,
9	že
10	největší
11	část
12	z
13	této
14	sumy
15	,
16	29
17	miliónů
18	ECU
19	,
20	bude
21	použita
22	na
23	rozšíření
24	a
25	modernizaci
26	infrastruktury
27	ekonomiky
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Státní	ADJ	2	amod
2	tajemník	NOUN	7	nsubj
3	ministerstva	NOUN	2	nmod
4	Károly	PROPN	2	flat
5	Attila	PROPN	2	flat
6	Soós	PROPN	2	flat
7	uvedl	VERB	0	root
8	,	PUNCT	21	punct
9	že	SCONJ	21	mark
10	největší	ADJ	11	amod
11	část	NOUN	21	nsubj:pass
12	z	ADP	14	case
13	této	DET	14	det
14	sumy	NOUN	11	nmod
15	,	PUNCT	16	punct
16	29	NUM	17	nummod:gov
17	miliónů	NOUN	11	appos
18	ECU	NOUN	17	nmod
19	,	PUNCT	11	punct
20	bude	AUX	21	aux:pass
21	použita	ADJ	7	obj
22	na	ADP	23	case
23	rozšíření	NOUN	21	obl:arg
24	a	CCONJ	25	cc
25	modernizaci	NOUN	23	conj
26	infrastruktury	NOUN	23	nmod
27	ekonomiky	NOUN	26	nmod
28	.	PUNCT	7	punct