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:
František Straka, který z Rostocku přestoupil do Wuppertalu, se dnes bude se svým bývalým zaměstnavatelem soudit o 12000 marek, které mu údajně Hansa Rostock dluží.
Postion	Tokenization
1	František
2	Straka
3	,
4	který
5	z
6	Rostocku
7	přestoupil
8	do
9	Wuppertalu
10	,
11	se
12	dnes
13	bude
14	se
15	svým
16	bývalým
17	zaměstnavatelem
18	soudit
19	o
20	12000
21	marek
22	,
23	které
24	mu
25	údajně
26	Hansa
27	Rostock
28	dluží
29	.
Position	Tokenization	UPOS	Head	Deprel
1	František	PROPN	18	nsubj
2	Straka	PROPN	1	flat
3	,	PUNCT	7	punct
4	který	DET	7	nsubj
5	z	ADP	6	case
6	Rostocku	PROPN	7	obl
7	přestoupil	VERB	1	acl:relcl
8	do	ADP	9	case
9	Wuppertalu	PROPN	7	obl
10	,	PUNCT	7	punct
11	se	PRON	18	expl:pv
12	dnes	ADV	18	advmod
13	bude	AUX	18	aux
14	se	ADP	17	case
15	svým	DET	17	det
16	bývalým	ADJ	17	amod
17	zaměstnavatelem	NOUN	18	obl:arg
18	soudit	VERB	0	root
19	o	ADP	21	case
20	12000	NUM	21	nummod:gov
21	marek	NOUN	18	obl:arg
22	,	PUNCT	28	punct
23	které	DET	28	obj
24	mu	PRON	28	obl:arg
25	údajně	ADV	28	advmod
26	Hansa	PROPN	28	nsubj
27	Rostock	PROPN	26	nmod
28	dluží	VERB	21	acl:relcl
29	.	PUNCT	18	punct