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:
S velkým napětím se očekává, jak si Hradec Králové, jenž se po trenérské výměně probudil k nepoznání, poradí s Viktorií Žižkov.
Postion	Tokenization
1	S
2	velkým
3	napětím
4	se
5	očekává
6	,
7	jak
8	si
9	Hradec
10	Králové
11	,
12	jenž
13	se
14	po
15	trenérské
16	výměně
17	probudil
18	k
19	nepoznání
20	,
21	poradí
22	s
23	Viktorií
24	Žižkov
25	.
Position	Tokenization	UPOS	Head	Deprel
1	S	ADP	3	case
2	velkým	ADJ	3	amod
3	napětím	NOUN	5	obl
4	se	PRON	5	expl:pass
5	očekává	VERB	0	root
6	,	PUNCT	21	punct
7	jak	ADV	21	advmod
8	si	PRON	21	expl:pv
9	Hradec	PROPN	21	nsubj
10	Králové	PROPN	9	nmod
11	,	PUNCT	17	punct
12	jenž	PRON	17	nsubj
13	se	PRON	17	expl:pv
14	po	ADP	16	case
15	trenérské	ADJ	16	amod
16	výměně	NOUN	17	obl
17	probudil	VERB	9	acl:relcl
18	k	ADP	19	case
19	nepoznání	NOUN	17	obl
20	,	PUNCT	17	punct
21	poradí	VERB	5	csubj:pass
22	s	ADP	23	case
23	Viktorií	PROPN	21	obl:arg
24	Žižkov	PROPN	23	nmod
25	.	PUNCT	5	punct