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: Brno se naopak v závěrečných fázích nemohlo opřít o výkony ruských hráček Jemeljanovové a Timonovové, které byly přetíženy a navíc Olomouc je už natolik zná, že byla většinou na jejich útoky dobře obranně připravená.
Position	Tokenization	UPOS	Head	Deprel
1	Brno	PROPN	7	nsubj
2	se	PRON	8	expl:pv
3	naopak	ADV	7	advmod
4	v	ADP	6	case
5	závěrečných	ADJ	6	amod
6	fázích	NOUN	7	obl
7	nemohlo	VERB	0	root
8	opřít	VERB	7	xcomp
9	o	ADP	10	case
10	výkony	NOUN	8	obl:arg
11	ruských	ADJ	12	amod
12	hráček	NOUN	10	nmod
13	Jemeljanovové	PROPN	12	nmod
14	a	CCONJ	15	cc
15	Timonovové	PROPN	13	conj
16	,	PUNCT	19	punct
17	které	DET	19	nsubj
18	byly	AUX	19	cop
19	přetíženy	ADJ	12	acl:relcl
20	a	CCONJ	26	cc
21	navíc	ADV	26	advmod
22	Olomouc	PROPN	26	nsubj
23	je	PRON	26	obj
24	už	ADV	26	advmod
25	natolik	ADV	26	advmod
26	zná	VERB	7	conj
27	,	PUNCT	36	punct
28	že	SCONJ	36	mark
29	byla	AUX	36	cop
30	většinou	NOUN	36	obl
31	na	ADP	33	case
32	jejich	DET	33	det
33	útoky	NOUN	36	obl:arg
34	dobře	ADV	36	advmod
35	obranně	ADV	36	advmod
36	připravená	ADJ	26	advcl
37	.	PUNCT	7	punct