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:
Jde o dluh "zanedbatelných" několika desítek milionů marek, které Deutsche Bank mávnutím ruky převzala s tím, že započaté stavby, které úvěrovala, také dokončí.
Postion	Tokenization
1	Jde
2	o
3	dluh
4	"
5	zanedbatelných
6	"
7	několika
8	desítek
9	milionů
10	marek
11	,
12	které
13	Deutsche
14	Bank
15	mávnutím
16	ruky
17	převzala
18	s
19	tím
20	,
21	že
22	započaté
23	stavby
24	,
25	které
26	úvěrovala
27	,
28	také
29	dokončí
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Jde	VERB	0	root
2	o	ADP	3	case
3	dluh	NOUN	1	obl:arg
4	"	PUNCT	5	punct
5	zanedbatelných	ADJ	8	amod
6	"	PUNCT	5	punct
7	několika	DET	8	det:nummod
8	desítek	NOUN	3	nmod
9	milionů	NOUN	8	nmod
10	marek	NOUN	9	nmod
11	,	PUNCT	17	punct
12	které	DET	17	obj
13	Deutsche	ADJ	14	amod
14	Bank	NOUN	17	nsubj
15	mávnutím	NOUN	17	obl
16	ruky	NOUN	15	nmod
17	převzala	VERB	3	acl:relcl
18	s	ADP	19	case
19	tím	DET	17	obl
20	,	PUNCT	29	punct
21	že	SCONJ	29	mark
22	započaté	ADJ	23	amod
23	stavby	NOUN	29	obj
24	,	PUNCT	26	punct
25	které	DET	26	obj
26	úvěrovala	VERB	23	acl:relcl
27	,	PUNCT	26	punct
28	také	ADV	29	advmod:emph
29	dokončí	VERB	19	acl
30	.	PUNCT	1	punct