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:
Ruský prezident včera vyjádřil rozhodný nesouhlas s těmi, kdo se domnívají, že s odchodem ruských vojsk z Německa nastanou Moskvě ve vztazích s Bonnem problémy.
Postion	Tokenization
1	Ruský
2	prezident
3	včera
4	vyjádřil
5	rozhodný
6	nesouhlas
7	s
8	těmi
9	,
10	kdo
11	se
12	domnívají
13	,
14	že
15	s
16	odchodem
17	ruských
18	vojsk
19	z
20	Německa
21	nastanou
22	Moskvě
23	ve
24	vztazích
25	s
26	Bonnem
27	problémy
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ruský	ADJ	2	amod
2	prezident	NOUN	4	nsubj
3	včera	ADV	4	advmod
4	vyjádřil	VERB	0	root
5	rozhodný	ADJ	6	amod
6	nesouhlas	NOUN	4	obj
7	s	ADP	8	case
8	těmi	DET	6	det
9	,	PUNCT	12	punct
10	kdo	PRON	12	nsubj
11	se	PRON	12	expl:pv
12	domnívají	VERB	8	acl:relcl
13	,	PUNCT	21	punct
14	že	SCONJ	21	mark
15	s	ADP	16	case
16	odchodem	NOUN	21	obl
17	ruských	ADJ	18	amod
18	vojsk	NOUN	16	nmod
19	z	ADP	20	case
20	Německa	PROPN	16	nmod
21	nastanou	VERB	12	ccomp
22	Moskvě	PROPN	21	obl
23	ve	ADP	24	case
24	vztazích	NOUN	21	obl
25	s	ADP	26	case
26	Bonnem	PROPN	24	nmod
27	problémy	NOUN	21	nsubj
28	.	PUNCT	4	punct