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:
Lékař by musel např. každých pět let prokazovat, že se zúčastnil nějakého kongresu apod., aby mu byla licence automaticky prodloužena.
Postion	Tokenization
1	Lékař
2	by
3	musel
4	např
5	.
6	každých
7	pět
8	let
9	prokazovat
10	,
11	že
12	se
13	zúčastnil
14	nějakého
15	kongresu
16	apod
17	.
18	,
19	aby
20	aby
21	by
22	mu
23	byla
24	licence
25	automaticky
26	prodloužena
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Lékař	NOUN	3	nsubj
2	by	AUX	3	aux
3	musel	VERB	0	root
4	např	ADV	7	cc
5	.	PUNCT	6	punct
6	každých	DET	8	det
7	pět	NUM	8	nummod:gov
8	let	NOUN	9	obl
9	prokazovat	VERB	3	xcomp
10	,	PUNCT	13	punct
11	že	SCONJ	13	mark
12	se	PRON	13	expl:pv
13	zúčastnil	VERB	9	ccomp
14	nějakého	DET	15	det
15	kongresu	NOUN	13	obl:arg
16	apod	ADV	13	obj
17	.	PUNCT	16	punct
18	,	PUNCT	25	punct
19	aby	_	None	_
20	aby	SCONJ	25	mark
21	by	AUX	25	aux
22	mu	PRON	25	obl:arg
23	byla	AUX	25	aux:pass
24	licence	NOUN	25	nsubj:pass
25	automaticky	ADV	25	advmod
26	prodloužena	ADJ	9	obl
27	.	PUNCT	3	punct