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:
Poslala svého nejvyššího koordinátora tajných služeb, státního ministra Bernda Schmidbauera, do Moskvy, aby se tam pokusil dohodnout kooperaci příslušných německých a ruských služeb v boji proti ilegálnímu obchodu se štěpným materiálem.
Postion	Tokenization
1	Poslala
2	svého
3	nejvyššího
4	koordinátora
5	tajných
6	služeb
7	,
8	státního
9	ministra
10	Bernda
11	Schmidbauera
12	,
13	do
14	Moskvy
15	,
16	aby
17	aby
18	by
19	se
20	tam
21	pokusil
22	dohodnout
23	kooperaci
24	příslušných
25	německých
26	a
27	ruských
28	služeb
29	v
30	boji
31	proti
32	ilegálnímu
33	obchodu
34	se
35	štěpným
36	materiálem
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Poslala	VERB	0	root
2	svého	DET	4	det
3	nejvyššího	ADJ	4	amod
4	koordinátora	NOUN	1	obj
5	tajných	ADJ	6	amod
6	služeb	NOUN	4	nmod
7	,	PUNCT	9	punct
8	státního	ADJ	9	amod
9	ministra	NOUN	4	appos
10	Bernda	PROPN	9	flat
11	Schmidbauera	PROPN	9	flat
12	,	PUNCT	9	punct
13	do	ADP	14	case
14	Moskvy	PROPN	1	obl
15	,	PUNCT	20	punct
16	aby	_	None	_
17	aby	SCONJ	20	mark
18	by	AUX	20	aux
19	se	PRON	20	expl:pv
20	tam	ADV	20	advmod
21	pokusil	VERB	1	advcl
22	dohodnout	VERB	20	xcomp
23	kooperaci	NOUN	21	obj
24	příslušných	ADJ	27	amod
25	německých	ADJ	27	amod
26	a	CCONJ	26	cc
27	ruských	ADJ	24	conj
28	služeb	NOUN	22	nmod
29	v	ADP	29	case
30	boji	NOUN	22	nmod
31	proti	ADP	32	case
32	ilegálnímu	ADJ	32	amod
33	obchodu	NOUN	29	nmod
34	se	ADP	35	case
35	štěpným	ADJ	35	amod
36	materiálem	NOUN	32	nmod
37	.	PUNCT	1	punct