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:
* Téma: Pobytové kurzy pro řídící pracovníky, vlastníky firem a další, kterým časové možnosti nedovolují návštěvu kurzů a plné soustředění na výuku během týdne.
Postion	Tokenization
1	*
2	Téma
3	:
4	Pobytové
5	kurzy
6	pro
7	řídící
8	pracovníky
9	,
10	vlastníky
11	firem
12	a
13	další
14	,
15	kterým
16	časové
17	možnosti
18	nedovolují
19	návštěvu
20	kurzů
21	a
22	plné
23	soustředění
24	na
25	výuku
26	během
27	týdne
28	.
Position	Tokenization	UPOS	Head	Deprel
1	*	PUNCT	2	punct
2	Téma	NOUN	0	root
3	:	PUNCT	5	punct
4	Pobytové	ADJ	5	amod
5	kurzy	NOUN	2	appos
6	pro	ADP	8	case
7	řídící	ADJ	8	amod
8	pracovníky	NOUN	5	nmod
9	,	PUNCT	10	punct
10	vlastníky	NOUN	8	conj
11	firem	NOUN	10	nmod
12	a	CCONJ	13	cc
13	další	ADJ	8	conj
14	,	PUNCT	18	punct
15	kterým	DET	18	obl:arg
16	časové	ADJ	17	amod
17	možnosti	NOUN	18	nsubj
18	nedovolují	VERB	8	dep
19	návštěvu	NOUN	18	obj
20	kurzů	NOUN	19	nmod
21	a	CCONJ	23	cc
22	plné	ADJ	23	amod
23	soustředění	NOUN	19	conj
24	na	ADP	25	case
25	výuku	NOUN	23	nmod
26	během	ADP	27	case
27	týdne	NOUN	23	nmod
28	.	PUNCT	2	punct