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:
Profesor pražské katedry germanistiky Kurt Krolop se ve studiích o časopise zaměřil kromě jiného na vztahy Kraus-Češi a Češi-Kraus.
Postion	Tokenization
1	Profesor
2	pražské
3	katedry
4	germanistiky
5	Kurt
6	Krolop
7	se
8	ve
9	studiích
10	o
11	časopise
12	zaměřil
13	kromě
14	jiného
15	na
16	vztahy
17	Kraus
18	-
19	Češi
20	a
21	Češi
22	-
23	Kraus
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Profesor	NOUN	12	nsubj
2	pražské	ADJ	3	amod
3	katedry	NOUN	1	nmod
4	germanistiky	NOUN	3	nmod
5	Kurt	PROPN	1	flat
6	Krolop	PROPN	1	flat
7	se	PRON	12	expl:pv
8	ve	ADP	9	case
9	studiích	NOUN	12	obl
10	o	ADP	11	case
11	časopise	NOUN	9	nmod
12	zaměřil	VERB	0	root
13	kromě	ADP	14	case
14	jiného	ADJ	12	obl
15	na	ADP	16	case
16	vztahy	NOUN	12	obl:arg
17	Kraus	PROPN	16	nmod
18	-	PUNCT	19	punct
19	Češi	PROPN	17	conj
20	a	CCONJ	21	cc
21	Češi	PROPN	17	conj
22	-	PUNCT	23	punct
23	Kraus	PROPN	21	conj
24	.	PUNCT	12	punct