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:
Ředitel nesplnil nařízení rady, aby vytvořil lepší podmínky pro taxikáře tím, že do 1. července zvýší počet odstavných míst pro vozy taxi.
Postion	Tokenization
1	Ředitel
2	nesplnil
3	nařízení
4	rady
5	,
6	aby
7	aby
8	by
9	vytvořil
10	lepší
11	podmínky
12	pro
13	taxikáře
14	tím
15	,
16	že
17	do
18	1
19	.
20	července
21	zvýší
22	počet
23	odstavných
24	míst
25	pro
26	vozy
27	taxi
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ředitel	NOUN	2	nsubj
2	nesplnil	VERB	0	root
3	nařízení	NOUN	2	obj
4	rady	NOUN	3	nmod
5	,	PUNCT	8	punct
6	aby	_	None	_
7	aby	SCONJ	8	mark
8	by	AUX	8	aux
9	vytvořil	VERB	3	acl
10	lepší	ADJ	10	amod
11	podmínky	NOUN	8	obj
12	pro	ADP	12	case
13	taxikáře	NOUN	10	nmod
14	tím	DET	8	obl
15	,	PUNCT	20	punct
16	že	SCONJ	20	mark
17	do	ADP	19	case
18	1	NUM	19	nummod
19	.	PUNCT	17	punct
20	července	NOUN	20	obl
21	zvýší	VERB	13	acl
22	počet	NOUN	20	obj
23	odstavných	ADJ	23	amod
24	míst	NOUN	21	nmod
25	pro	ADP	25	case
26	vozy	NOUN	23	nmod
27	taxi	NOUN	25	nmod
28	.	PUNCT	2	punct