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:
Podle Vlastimila Hledíka České dráhy mohou ve smlouvě novému provozovateli stanovit, že musí provozovat a udržovat dráhu, zajišťovat bezpečnost a plynulost železniční dopravy.
Postion	Tokenization
1	Podle
2	Vlastimila
3	Hledíka
4	České
5	dráhy
6	mohou
7	ve
8	smlouvě
9	novému
10	provozovateli
11	stanovit
12	,
13	že
14	musí
15	provozovat
16	a
17	udržovat
18	dráhu
19	,
20	zajišťovat
21	bezpečnost
22	a
23	plynulost
24	železniční
25	dopravy
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	Vlastimila	PROPN	6	obl
3	Hledíka	PROPN	2	flat
4	České	ADJ	5	amod
5	dráhy	NOUN	6	nsubj
6	mohou	VERB	0	root
7	ve	ADP	8	case
8	smlouvě	NOUN	6	obl
9	novému	ADJ	10	amod
10	provozovateli	NOUN	11	obl:arg
11	stanovit	VERB	6	xcomp
12	,	PUNCT	14	punct
13	že	SCONJ	14	mark
14	musí	VERB	11	ccomp
15	provozovat	VERB	14	xcomp
16	a	CCONJ	17	cc
17	udržovat	VERB	15	conj
18	dráhu	NOUN	15	obj
19	,	PUNCT	20	punct
20	zajišťovat	VERB	15	conj
21	bezpečnost	NOUN	20	obj
22	a	CCONJ	23	cc
23	plynulost	NOUN	21	conj
24	železniční	ADJ	25	amod
25	dopravy	NOUN	21	nmod
26	.	PUNCT	6	punct