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:
Tak bude mít lékař optimální počet pacientů a bude-li dobrý, po zásluze zbohatne a bohatnout bude i obec.
Postion	Tokenization
1	Tak
2	bude
3	mít
4	lékař
5	optimální
6	počet
7	pacientů
8	a
9	bude
10	-
11	li
12	dobrý
13	,
14	po
15	zásluze
16	zbohatne
17	a
18	bohatnout
19	bude
20	i
21	obec
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Tak	ADV	3	advmod
2	bude	AUX	3	aux
3	mít	VERB	0	root
4	lékař	NOUN	3	nsubj
5	optimální	ADJ	6	amod
6	počet	NOUN	3	obj
7	pacientů	NOUN	6	nmod
8	a	CCONJ	16	cc
9	bude	AUX	12	cop
10	-	PUNCT	12	punct
11	li	PART	12	mark
12	dobrý	ADJ	16	advcl
13	,	PUNCT	12	punct
14	po	ADP	15	case
15	zásluze	NOUN	16	obl
16	zbohatne	VERB	3	conj
17	a	CCONJ	18	cc
18	bohatnout	VERB	16	conj
19	bude	AUX	18	aux
20	i	CCONJ	21	advmod:emph
21	obec	NOUN	18	nsubj
22	.	PUNCT	3	punct