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 zdůvodňují zdražení jízdného tím, že dosavadní bylo hluboko pod skutečnou cenou a nemohlo pokrýt ani rozdíl mezi dotacemi do městské dopravy a náklady na provoz.
Postion	Tokenization
1	Dopravní
2	podniky
3	zdůvodňují
4	zdražení
5	jízdného
6	tím
7	,
8	že
9	dosavadní
10	bylo
11	hluboko
12	pod
13	skutečnou
14	cenou
15	a
16	nemohlo
17	pokrýt
18	ani
19	rozdíl
20	mezi
21	dotacemi
22	do
23	městské
24	dopravy
25	a
26	náklady
27	na
28	provoz
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Dopravní	ADJ	2	amod
2	podniky	NOUN	3	nsubj
3	zdůvodňují	VERB	0	root
4	zdražení	NOUN	3	obj
5	jízdného	NOUN	4	nmod
6	tím	DET	3	obl
7	,	PUNCT	10	punct
8	že	SCONJ	10	mark
9	dosavadní	ADJ	10	dep
10	bylo	VERB	6	acl
11	hluboko	ADV	10	advmod
12	pod	ADP	14	case
13	skutečnou	ADJ	14	amod
14	cenou	NOUN	11	obl
15	a	CCONJ	16	cc
16	nemohlo	VERB	10	conj
17	pokrýt	VERB	16	xcomp
18	ani	CCONJ	19	advmod:emph
19	rozdíl	NOUN	17	obj
20	mezi	ADP	21	case
21	dotacemi	NOUN	19	nmod
22	do	ADP	24	case
23	městské	ADJ	24	amod
24	dopravy	NOUN	21	nmod
25	a	CCONJ	26	cc
26	náklady	NOUN	19	conj
27	na	ADP	28	case
28	provoz	NOUN	26	nmod
29	.	PUNCT	3	punct