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:
Přes momentální pokles dopravy Správa silničního fondu stále předpokládá, že do roku 2000 v porovnání s rokem 1990 vzroste intenzita nejméně o 25 % a na hlavních tazích nejméně o 35 %.
Postion	Tokenization
1	Přes
2	momentální
3	pokles
4	dopravy
5	Správa
6	silničního
7	fondu
8	stále
9	předpokládá
10	,
11	že
12	do
13	roku
14	2000
15	v
16	porovnání
17	s
18	rokem
19	1990
20	vzroste
21	intenzita
22	nejméně
23	o
24	25
25	%
26	_
27	a
28	na
29	hlavních
30	tazích
31	nejméně
32	o
33	35
34	%
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Přes	ADP	3	case
2	momentální	ADJ	3	amod
3	pokles	NOUN	9	obl
4	dopravy	NOUN	3	nmod
5	Správa	NOUN	9	nsubj
6	silničního	ADJ	7	amod
7	fondu	NOUN	5	nmod
8	stále	ADV	9	advmod
9	předpokládá	VERB	0	root
10	,	PUNCT	20	punct
11	že	SCONJ	20	mark
12	do	ADP	13	case
13	roku	NOUN	20	obl
14	2000	NUM	13	nummod
15	v	ADP	18	case
16	porovnání	NOUN	15	fixed
17	s	ADP	15	fixed
18	rokem	NOUN	20	obl
19	1990	NUM	18	nummod
20	vzroste	VERB	9	ccomp
21	intenzita	NOUN	20	nsubj
22	nejméně	ADV	24	advmod:emph
23	o	ADP	24	case
24	25	NUM	20	obl
25	%	SYM	24	nmod
26	_	_	None	_
27	a	CCONJ	29	cc
28	na	ADP	29	case
29	hlavních	ADJ	29	amod
30	tazích	NOUN	20	conj
31	nejméně	ADV	32	advmod:emph
32	o	ADP	32	case
33	35	NUM	29	orphan
34	%	SYM	32	nmod
35	.	PUNCT	9	punct