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:
Již dříve firma získala místo ve výběrovém řízení přímo v centru města, ale od výstavby ustoupila po protestech občanů, kteří nechtěli restauraci v blízkosti kostela.
Postion	Tokenization
1	Již
2	dříve
3	firma
4	získala
5	místo
6	ve
7	výběrovém
8	řízení
9	přímo
10	v
11	centru
12	města
13	,
14	ale
15	od
16	výstavby
17	ustoupila
18	po
19	protestech
20	občanů
21	,
22	kteří
23	nechtěli
24	restauraci
25	v
26	blízkosti
27	kostela
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Již	ADV	2	advmod:emph
2	dříve	ADV	4	advmod
3	firma	NOUN	4	nsubj
4	získala	VERB	0	root
5	místo	NOUN	4	obj
6	ve	ADP	8	case
7	výběrovém	ADJ	8	amod
8	řízení	NOUN	4	obl
9	přímo	ADV	11	advmod:emph
10	v	ADP	11	case
11	centru	NOUN	4	obl
12	města	NOUN	11	nmod
13	,	PUNCT	17	punct
14	ale	CCONJ	17	cc
15	od	ADP	16	case
16	výstavby	NOUN	17	obl:arg
17	ustoupila	VERB	4	conj
18	po	ADP	19	case
19	protestech	NOUN	17	obl
20	občanů	NOUN	19	nmod
21	,	PUNCT	23	punct
22	kteří	DET	23	nsubj
23	nechtěli	VERB	20	acl:relcl
24	restauraci	NOUN	23	obj
25	v	ADP	26	case
26	blízkosti	NOUN	23	obl
27	kostela	NOUN	26	nmod
28	.	PUNCT	4	punct