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:
Dynamičtější růst v příštím roce, předpovídaný většinou domácích i zahraničních institucí v rozmezí 3-4 %, je ovšem podmíněn změnami hospodářské politiky.
Postion	Tokenization
1	Dynamičtější
2	růst
3	v
4	příštím
5	roce
6	,
7	předpovídaný
8	většinou
9	domácích
10	i
11	zahraničních
12	institucí
13	v
14	rozmezí
15	3
16	-
17	4
18	%
19	,
20	je
21	ovšem
22	podmíněn
23	změnami
24	hospodářské
25	politiky
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Dynamičtější	ADJ	2	amod
2	růst	NOUN	22	nsubj
3	v	ADP	5	case
4	příštím	ADJ	5	amod
5	roce	NOUN	2	nmod
6	,	PUNCT	7	punct
7	předpovídaný	ADJ	2	amod
8	většinou	NOUN	7	obl:arg
9	domácích	ADJ	12	amod
10	i	CCONJ	11	cc
11	zahraničních	ADJ	9	conj
12	institucí	NOUN	8	nmod
13	v	ADP	14	case
14	rozmezí	NOUN	7	obl
15	3	NUM	14	nummod
16	-	PUNCT	17	punct
17	4	NUM	15	conj
18	%	SYM	15	nmod
19	,	PUNCT	7	punct
20	je	AUX	22	cop
21	ovšem	CCONJ	22	cc
22	podmíněn	ADJ	0	root
23	změnami	NOUN	22	obl:arg
24	hospodářské	ADJ	25	amod
25	politiky	NOUN	23	nmod
26	.	PUNCT	22	punct