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: Pravděpodobně nastoupí uzdravený Kafka, naopak pro slabé výkony byl z kádru vyřazen Staš, ačkoliv nás manažer Krejčí v pondělí odpoledne ujistil, že k žádným radikálním opatřením a hráčským změnám nedojde.
Position	Tokenization	UPOS	Head	Deprel
1	Pravděpodobně	ADV	2	advmod
2	nastoupí	VERB	0	root
3	uzdravený	ADJ	4	amod
4	Kafka	PROPN	2	nsubj
5	,	PUNCT	13	punct
6	naopak	ADV	13	advmod
7	pro	ADP	9	case
8	slabé	ADJ	9	amod
9	výkony	NOUN	13	obl
10	byl	AUX	13	aux:pass
11	z	ADP	12	case
12	kádru	NOUN	13	obl
13	vyřazen	ADJ	2	conj
14	Staš	PROPN	13	nsubj:pass
15	,	PUNCT	23	punct
16	ačkoliv	SCONJ	23	mark
17	nás	PRON	23	iobj
18	manažer	NOUN	23	nsubj
19	Krejčí	PROPN	18	flat
20	v	ADP	21	case
21	pondělí	NOUN	23	obl
22	odpoledne	ADV	23	advmod
23	ujistil	VERB	13	advcl
24	,	PUNCT	33	punct
25	že	SCONJ	33	mark
26	k	ADP	29	case
27	žádným	DET	29	det
28	radikálním	ADJ	29	amod
29	opatřením	NOUN	33	obl:arg
30	a	CCONJ	32	cc
31	hráčským	ADJ	32	amod
32	změnám	NOUN	29	conj
33	nedojde	VERB	23	ccomp
34	.	PUNCT	2	punct