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:
Ač lékařka s již vydanou licencí, České lékařské komoře v současném sporu s ministerstvem zdravotnictví nestraním (Proč se nebaví lékaři s ministrem, LN 11. 2.).
Postion	Tokenization
1	Ač
2	lékařka
3	s
4	již
5	vydanou
6	licencí
7	,
8	České
9	lékařské
10	komoře
11	v
12	současném
13	sporu
14	s
15	ministerstvem
16	zdravotnictví
17	nestraním
18	(
19	Proč
20	se
21	nebaví
22	lékaři
23	s
24	ministrem
25	,
26	LN
27	11
28	.
29	2
30	.
31	)
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Ač	SCONJ	2	mark
2	lékařka	NOUN	17	dep
3	s	ADP	6	case
4	již	ADV	5	advmod
5	vydanou	ADJ	6	amod
6	licencí	NOUN	2	nmod
7	,	PUNCT	2	punct
8	České	ADJ	10	amod
9	lékařské	ADJ	10	amod
10	komoře	NOUN	17	obl:arg
11	v	ADP	13	case
12	současném	ADJ	13	amod
13	sporu	NOUN	17	obl
14	s	ADP	15	case
15	ministerstvem	NOUN	13	nmod
16	zdravotnictví	NOUN	15	nmod
17	nestraním	VERB	0	root
18	(	PUNCT	21	punct
19	Proč	ADV	21	advmod
20	se	PRON	21	expl:pv
21	nebaví	VERB	17	parataxis
22	lékaři	NOUN	21	nsubj
23	s	ADP	24	case
24	ministrem	NOUN	21	obl:arg
25	,	PUNCT	21	punct
26	LN	PROPN	21	dep
27	11	NUM	29	compound
28	.	PUNCT	27	punct
29	2	NUM	26	nummod
30	.	PUNCT	29	punct
31	)	PUNCT	21	punct
32	.	PUNCT	17	punct