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:
V německé sázkové hře Lotto se tento týden dále zvyšuje suma možné rekordní výhry, která už činí 42 milionů marek (zhruba 730 milionů českých korun).
Postion	Tokenization
1	V
2	německé
3	sázkové
4	hře
5	Lotto
6	se
7	tento
8	týden
9	dále
10	zvyšuje
11	suma
12	možné
13	rekordní
14	výhry
15	,
16	která
17	už
18	činí
19	42
20	milionů
21	marek
22	(
23	zhruba
24	730
25	milionů
26	českých
27	korun
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	4	case
2	německé	ADJ	4	amod
3	sázkové	ADJ	4	amod
4	hře	NOUN	10	obl
5	Lotto	PROPN	4	nmod
6	se	PRON	10	expl:pass
7	tento	DET	8	det
8	týden	NOUN	10	obl
9	dále	ADV	10	advmod
10	zvyšuje	VERB	0	root
11	suma	NOUN	10	nsubj:pass
12	možné	ADJ	14	amod
13	rekordní	ADJ	14	amod
14	výhry	NOUN	11	nmod
15	,	PUNCT	18	punct
16	která	DET	18	nsubj
17	už	ADV	18	advmod
18	činí	VERB	14	acl:relcl
19	42	NUM	20	nummod:gov
20	milionů	NOUN	18	obj
21	marek	NOUN	20	nmod
22	(	PUNCT	25	punct
23	zhruba	ADV	24	advmod:emph
24	730	NUM	25	nummod:gov
25	milionů	NOUN	19	appos
26	českých	ADJ	27	amod
27	korun	NOUN	25	nmod
28	)	PUNCT	25	punct
29	.	PUNCT	10	punct