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 text: Prodlužující se čekací doby vyvolají podle Tomáše Nováka, spolumajitele firmy Netto, která provozuje odstavné parkoviště, další jednání zainteresovaných stran o systému odbavování kamionů před hraničními přechody s odstavnými parkovišti.
Position	Tokenization	UPOS	Head	Deprel
1	Prodlužující	ADJ	4	amod
2	se	PRON	1	expl:pv
3	čekací	ADJ	4	amod
4	doby	NOUN	5	nsubj
5	vyvolají	VERB	0	root
6	podle	ADP	7	case
7	Tomáše	PROPN	5	obl
8	Nováka	PROPN	7	flat
9	,	PUNCT	10	punct
10	spolumajitele	NOUN	7	nmod
11	firmy	NOUN	10	nmod
12	Netto	PART	11	nmod
13	,	PUNCT	15	punct
14	která	DET	15	nsubj
15	provozuje	VERB	11	acl:relcl
16	odstavné	ADJ	17	amod
17	parkoviště	NOUN	15	obj
18	,	PUNCT	15	punct
19	další	ADJ	20	amod
20	jednání	NOUN	5	obj
21	zainteresovaných	ADJ	22	amod
22	stran	NOUN	20	nmod
23	o	ADP	24	case
24	systému	NOUN	20	nmod
25	odbavování	NOUN	24	nmod
26	kamionů	NOUN	25	nmod
27	před	ADP	29	case
28	hraničními	ADJ	29	amod
29	přechody	NOUN	25	nmod
30	s	ADP	32	case
31	odstavnými	ADJ	32	amod
32	parkovišti	NOUN	29	nmod
33	.	PUNCT	5	punct