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:
ODA podle Ježka prosazuje rozpočet vyrovnaný nejen z makroekonomického hlediska, ale hlavně z hlediska demonstrativního: stát musí podle něj svým občanům i světu ukázat, že nežije nad poměry.
Postion	Tokenization
1	ODA
2	podle
3	Ježka
4	prosazuje
5	rozpočet
6	vyrovnaný
7	nejen
8	z
9	makroekonomického
10	hlediska
11	,
12	ale
13	hlavně
14	z
15	hlediska
16	demonstrativního
17	:
18	stát
19	musí
20	podle
21	něj
22	svým
23	občanům
24	i
25	světu
26	ukázat
27	,
28	že
29	nežije
30	nad
31	poměry
32	.
Position	Tokenization	UPOS	Head	Deprel
1	ODA	PROPN	4	nsubj
2	podle	ADP	3	case
3	Ježka	PROPN	4	obl
4	prosazuje	VERB	0	root
5	rozpočet	NOUN	4	obj
6	vyrovnaný	ADJ	5	amod
7	nejen	PART	10	advmod:emph
8	z	ADP	10	case
9	makroekonomického	ADJ	10	amod
10	hlediska	NOUN	6	obl
11	,	PUNCT	15	punct
12	ale	CCONJ	15	cc
13	hlavně	ADV	15	advmod:emph
14	z	ADP	15	case
15	hlediska	NOUN	10	conj
16	demonstrativního	ADJ	15	amod
17	:	PUNCT	19	punct
18	stát	NOUN	19	nsubj
19	musí	VERB	4	conj
20	podle	ADP	21	case
21	něj	PRON	19	obl
22	svým	DET	23	det
23	občanům	NOUN	26	obl:arg
24	i	CCONJ	25	cc
25	světu	NOUN	23	conj
26	ukázat	VERB	19	xcomp
27	,	PUNCT	29	punct
28	že	SCONJ	29	mark
29	nežije	VERB	26	ccomp
30	nad	ADP	31	case
31	poměry	NOUN	29	obl
32	.	PUNCT	4	punct