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:
Svůj výkon proti Medveděvovi označil Nováček jako profesorský, po vítězství nad Woodbridgem se pasoval do role zakousnutého teriéra, který obrovskou vůlí zvrátil nepříznivý vývoj.
Postion	Tokenization
1	Svůj
2	výkon
3	proti
4	Medveděvovi
5	označil
6	Nováček
7	jako
8	profesorský
9	,
10	po
11	vítězství
12	nad
13	Woodbridgem
14	se
15	pasoval
16	do
17	role
18	zakousnutého
19	teriéra
20	,
21	který
22	obrovskou
23	vůlí
24	zvrátil
25	nepříznivý
26	vývoj
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Svůj	DET	2	det
2	výkon	NOUN	5	obj
3	proti	ADP	4	case
4	Medveděvovi	PROPN	2	nmod
5	označil	VERB	0	root
6	Nováček	PROPN	5	nsubj
7	jako	SCONJ	8	mark
8	profesorský	ADJ	5	obj
9	,	PUNCT	15	punct
10	po	ADP	11	case
11	vítězství	NOUN	15	obl
12	nad	ADP	13	case
13	Woodbridgem	PROPN	11	nmod
14	se	PRON	15	obj
15	pasoval	VERB	5	conj
16	do	ADP	17	case
17	role	NOUN	15	obl
18	zakousnutého	ADJ	19	amod
19	teriéra	NOUN	17	nmod
20	,	PUNCT	24	punct
21	který	DET	24	nsubj
22	obrovskou	ADJ	23	amod
23	vůlí	NOUN	24	obl
24	zvrátil	VERB	19	acl:relcl
25	nepříznivý	ADJ	26	amod
26	vývoj	NOUN	24	obj
27	.	PUNCT	5	punct