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:
Uvedla to včera ve své měsíční zprávě německá centrální banka Deutsche Bundesbank, a v podstatě tak potlačila všechny zbývající naděje na další snížení německých úrokových sazeb.
Postion	Tokenization
1	Uvedla
2	to
3	včera
4	ve
5	své
6	měsíční
7	zprávě
8	německá
9	centrální
10	banka
11	Deutsche
12	Bundesbank
13	,
14	a
15	v
16	podstatě
17	tak
18	potlačila
19	všechny
20	zbývající
21	naděje
22	na
23	další
24	snížení
25	německých
26	úrokových
27	sazeb
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Uvedla	VERB	0	root
2	to	DET	1	obj
3	včera	ADV	1	advmod
4	ve	ADP	7	case
5	své	DET	7	det
6	měsíční	ADJ	7	amod
7	zprávě	NOUN	1	obl
8	německá	ADJ	10	amod
9	centrální	ADJ	10	amod
10	banka	NOUN	1	nsubj
11	Deutsche	ADJ	12	amod
12	Bundesbank	NOUN	10	nmod
13	,	PUNCT	18	punct
14	a	CCONJ	18	cc
15	v	ADP	16	case
16	podstatě	NOUN	18	obl
17	tak	ADV	18	advmod
18	potlačila	VERB	1	conj
19	všechny	DET	21	det
20	zbývající	ADJ	21	amod
21	naděje	NOUN	18	obj
22	na	ADP	24	case
23	další	ADJ	24	amod
24	snížení	NOUN	21	nmod
25	německých	ADJ	27	amod
26	úrokových	ADJ	27	amod
27	sazeb	NOUN	24	nmod
28	.	PUNCT	1	punct