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:
Taxikáři na svých stanovištích často porušují dopravní předpisy a parkují kolmo k chodníku i přes to, že byli za takové chování několikrát napomenuti.
Postion	Tokenization
1	Taxikáři
2	na
3	svých
4	stanovištích
5	často
6	porušují
7	dopravní
8	předpisy
9	a
10	parkují
11	kolmo
12	k
13	chodníku
14	i
15	přes
16	to
17	,
18	že
19	byli
20	za
21	takové
22	chování
23	několikrát
24	napomenuti
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Taxikáři	NOUN	6	nsubj
2	na	ADP	4	case
3	svých	DET	4	det
4	stanovištích	NOUN	6	obl
5	často	ADV	6	advmod
6	porušují	VERB	0	root
7	dopravní	ADJ	8	amod
8	předpisy	NOUN	6	obj
9	a	CCONJ	10	cc
10	parkují	VERB	6	conj
11	kolmo	ADV	10	advmod
12	k	ADP	13	case
13	chodníku	NOUN	11	obl
14	i	CCONJ	16	advmod:emph
15	přes	ADP	16	case
16	to	DET	10	obl
17	,	PUNCT	24	punct
18	že	SCONJ	24	mark
19	byli	AUX	24	aux:pass
20	za	ADP	22	case
21	takové	DET	22	det
22	chování	NOUN	24	obl
23	několikrát	ADV	24	obl
24	napomenuti	ADJ	16	amod
25	.	PUNCT	6	punct