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: Obě země se daly na reformy- a Rusko, které se jimi paradoxně nechalo oslabit, závistivě mžourá na mnohem úspěšnějšího souseda, jemuž experti předpovídají velkou budoucnost.
Position	Tokenization	UPOS	Head	Deprel
1	Obě	NUM	2	nummod
2	země	NOUN	4	nsubj:pass
3	se	PRON	4	expl:pass
4	daly	VERB	0	root
5	na	ADP	6	case
6	reformy	NOUN	4	obl:arg
7	-	PUNCT	19	punct
8	a	CCONJ	19	cc
9	Rusko	PROPN	19	nsubj
10	,	PUNCT	15	punct
11	které	DET	15	nsubj
12	se	PRON	15	iobj
13	jimi	PRON	16	obl:arg
14	paradoxně	ADV	15	advmod
15	nechalo	VERB	9	acl:relcl
16	oslabit	VERB	15	xcomp
17	,	PUNCT	15	punct
18	závistivě	ADV	19	advmod
19	mžourá	VERB	4	conj
20	na	ADP	23	case
21	mnohem	ADV	22	advmod
22	úspěšnějšího	ADJ	23	amod
23	souseda	NOUN	19	obl
24	,	PUNCT	27	punct
25	jemuž	PRON	27	obl:arg
26	experti	NOUN	27	nsubj
27	předpovídají	VERB	23	acl:relcl
28	velkou	ADJ	29	amod
29	budoucnost	NOUN	27	obj
30	.	PUNCT	4	punct