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:
Pokud tento objekt Norové vybudují ke spokojenosti radnice, nebude podle náměstka Kvapila nic bránit tomu, aby zajistili celou rekonstrukci Michalského návrší.
Postion	Tokenization
1	Pokud
2	tento
3	objekt
4	Norové
5	vybudují
6	ke
7	spokojenosti
8	radnice
9	,
10	nebude
11	podle
12	náměstka
13	Kvapila
14	nic
15	bránit
16	tomu
17	,
18	aby
19	aby
20	by
21	zajistili
22	celou
23	rekonstrukci
24	Michalského
25	návrší
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Pokud	SCONJ	5	mark
2	tento	DET	3	det
3	objekt	NOUN	5	obj
4	Norové	PROPN	5	nsubj
5	vybudují	VERB	15	advcl
6	ke	ADP	7	case
7	spokojenosti	NOUN	5	obl
8	radnice	NOUN	7	nmod
9	,	PUNCT	5	punct
10	nebude	AUX	15	aux
11	podle	ADP	12	case
12	náměstka	NOUN	15	obl
13	Kvapila	PROPN	12	flat
14	nic	PRON	15	nsubj
15	bránit	VERB	0	root
16	tomu	DET	15	obl:arg
17	,	PUNCT	20	punct
18	aby	_	None	_
19	aby	SCONJ	20	mark
20	by	AUX	20	aux
21	zajistili	VERB	16	acl
22	celou	ADJ	22	amod
23	rekonstrukci	NOUN	20	obj
24	Michalského	ADJ	24	amod
25	návrší	NOUN	22	nmod
26	.	PUNCT	15	punct