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 text: Vzhledem k tomu, že naše země leží na přímé linii Německo - Rusko a další bývalé státy Sovětského svazu (Ukrajina a Bělorusko), bylo v našem zájmu urovnat vztahy s Německem co nejrychleji a na co nejlepší úroveň.
Position	Tokenization	UPOS	Head	Deprel
1	Vzhledem	ADP	3	case
2	k	ADP	1	fixed
3	tomu	DET	27	obl
4	,	PUNCT	8	punct
5	že	SCONJ	8	mark
6	naše	DET	7	det
7	země	NOUN	8	nsubj
8	leží	VERB	3	acl
9	na	ADP	11	case
10	přímé	ADJ	11	amod
11	linii	NOUN	8	obl
12	Německo	PROPN	11	nmod
13	-	PUNCT	14	punct
14	Rusko	PROPN	12	conj
15	a	CCONJ	18	cc
16	další	ADJ	18	amod
17	bývalé	ADJ	18	amod
18	státy	NOUN	12	conj
19	Sovětského	ADJ	20	amod
20	svazu	NOUN	18	nmod
21	(	PUNCT	22	punct
22	Ukrajina	PROPN	18	appos
23	a	CCONJ	24	cc
24	Bělorusko	PROPN	22	conj
25	)	PUNCT	22	punct
26	,	PUNCT	8	punct
27	bylo	VERB	0	root
28	v	ADP	30	case
29	našem	DET	30	det
30	zájmu	NOUN	27	obl
31	urovnat	VERB	27	csubj
32	vztahy	NOUN	31	obj
33	s	ADP	34	case
34	Německem	PROPN	32	nmod
35	co	ADV	36	advmod
36	nejrychleji	ADV	31	advmod
37	a	CCONJ	41	cc
38	na	ADP	41	case
39	co	ADV	40	advmod
40	nejlepší	ADJ	41	amod
41	úroveň	NOUN	36	conj
42	.	PUNCT	27	punct