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:
Stažení Rusů by znamenalo, že Moskva ustupuje od společného úsilí mocností o urovnání situace a s největší pravděpodobností začne (ještě silněji než doposud) podporovat Srby.
Postion	Tokenization
1	Stažení
2	Rusů
3	by
4	znamenalo
5	,
6	že
7	Moskva
8	ustupuje
9	od
10	společného
11	úsilí
12	mocností
13	o
14	urovnání
15	situace
16	a
17	s
18	největší
19	pravděpodobností
20	začne
21	(
22	ještě
23	silněji
24	než
25	doposud
26	)
27	podporovat
28	Srby
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Stažení	NOUN	4	nsubj
2	Rusů	PROPN	1	nmod
3	by	AUX	4	aux
4	znamenalo	VERB	0	root
5	,	PUNCT	8	punct
6	že	SCONJ	8	mark
7	Moskva	PROPN	8	nsubj
8	ustupuje	VERB	4	ccomp
9	od	ADP	11	case
10	společného	ADJ	11	amod
11	úsilí	NOUN	8	obl:arg
12	mocností	NOUN	11	nmod
13	o	ADP	14	case
14	urovnání	NOUN	11	nmod
15	situace	NOUN	14	nmod
16	a	CCONJ	20	cc
17	s	ADP	19	case
18	největší	ADJ	19	amod
19	pravděpodobností	NOUN	20	obl
20	začne	VERB	8	conj
21	(	PUNCT	23	punct
22	ještě	ADV	23	advmod:emph
23	silněji	ADV	27	advmod
24	než	SCONJ	25	mark
25	doposud	ADV	23	advcl
26	)	PUNCT	23	punct
27	podporovat	VERB	20	xcomp
28	Srby	PROPN	27	obj
29	.	PUNCT	4	punct