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:
Vedoucí přepravního a obchodního oddělení Provozního pracoviště ČSD v Ústí nad Labem předpokládá, že v září bude dráha vypravovat průměrně jeden vlak kamiónů denně.
Postion	Tokenization
1	Vedoucí
2	přepravního
3	a
4	obchodního
5	oddělení
6	Provozního
7	pracoviště
8	ČSD
9	v
10	Ústí
11	nad
12	Labem
13	předpokládá
14	,
15	že
16	v
17	září
18	bude
19	dráha
20	vypravovat
21	průměrně
22	jeden
23	vlak
24	kamiónů
25	denně
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Vedoucí	NOUN	13	nsubj
2	přepravního	ADJ	5	amod
3	a	CCONJ	4	cc
4	obchodního	ADJ	2	conj
5	oddělení	NOUN	1	nmod
6	Provozního	ADJ	7	amod
7	pracoviště	NOUN	5	nmod
8	ČSD	PROPN	7	nmod
9	v	ADP	10	case
10	Ústí	PROPN	7	nmod
11	nad	ADP	12	case
12	Labem	PROPN	10	nmod
13	předpokládá	VERB	0	root
14	,	PUNCT	20	punct
15	že	SCONJ	20	mark
16	v	ADP	17	case
17	září	NOUN	20	obl
18	bude	AUX	20	aux
19	dráha	NOUN	20	nsubj
20	vypravovat	VERB	13	ccomp
21	průměrně	ADV	20	advmod
22	jeden	NUM	23	nummod
23	vlak	NOUN	20	obj
24	kamiónů	NOUN	23	nmod
25	denně	ADV	20	advmod
26	.	PUNCT	13	punct