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:
Byl to proslulý slavista (a bohemista), vedoucí této katedry, dále dr. Hans-Jürgen zum Winkel a profesor de Vincenc.
Postion	Tokenization
1	Byl
2	to
3	proslulý
4	slavista
5	(
6	a
7	bohemista
8	)
9	,
10	vedoucí
11	této
12	katedry
13	,
14	dále
15	dr
16	.
17	Hans
18	-
19	Jürgen
20	zum
21	Winkel
22	a
23	profesor
24	de
25	Vincenc
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Byl	VERB	0	root
2	to	DET	1	nsubj
3	proslulý	ADJ	4	amod
4	slavista	NOUN	1	nsubj
5	(	PUNCT	7	punct
6	a	CCONJ	7	cc
7	bohemista	NOUN	4	conj
8	)	PUNCT	7	punct
9	,	PUNCT	10	punct
10	vedoucí	NOUN	4	conj
11	této	DET	12	det
12	katedry	NOUN	10	nmod
13	,	PUNCT	14	punct
14	dále	ADV	1	dep
15	dr	NOUN	17	nmod
16	.	PUNCT	15	punct
17	Hans	PROPN	1	conj
18	-	PUNCT	17	punct
19	Jürgen	PROPN	17	flat
20	zum	ADP	17	flat
21	Winkel	PROPN	17	flat
22	a	CCONJ	23	cc
23	profesor	NOUN	17	conj
24	de	ADP	23	flat
25	Vincenc	PROPN	23	flat
26	.	PUNCT	1	punct