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:
Dopravní podniky si buď myslí, že cestující bude vděčný za to, že tramvaje vůbec jezdí, a proto obejde všechny strojky ve voze, než u některého jízdenku konečně označí.
Postion	Tokenization
1	Dopravní
2	podniky
3	si
4	buď
5	myslí
6	,
7	že
8	cestující
9	bude
10	vděčný
11	za
12	to
13	,
14	že
15	tramvaje
16	vůbec
17	jezdí
18	,
19	a
20	proto
21	obejde
22	všechny
23	strojky
24	ve
25	voze
26	,
27	než
28	u
29	některého
30	jízdenku
31	konečně
32	označí
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Dopravní	ADJ	2	amod
2	podniky	NOUN	5	nmod
3	si	PRON	5	expl:pv
4	buď	CCONJ	5	cc
5	myslí	VERB	0	root
6	,	PUNCT	10	punct
7	že	SCONJ	10	mark
8	cestující	ADJ	10	nsubj
9	bude	AUX	10	cop
10	vděčný	ADJ	5	ccomp
11	za	ADP	12	case
12	to	DET	10	obl:arg
13	,	PUNCT	17	punct
14	že	SCONJ	17	mark
15	tramvaje	NOUN	17	nsubj
16	vůbec	ADV	17	advmod:emph
17	jezdí	VERB	12	acl
18	,	PUNCT	21	punct
19	a	CCONJ	21	cc
20	proto	CCONJ	21	cc
21	obejde	VERB	10	conj
22	všechny	DET	23	det
23	strojky	NOUN	21	obj
24	ve	ADP	25	case
25	voze	NOUN	23	nmod
26	,	PUNCT	32	punct
27	než	SCONJ	32	mark
28	u	ADP	29	case
29	některého	DET	32	obl
30	jízdenku	NOUN	32	obj
31	konečně	ADV	32	advmod
32	označí	VERB	21	advcl
33	.	PUNCT	5	punct