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:
Je skutečně nevinný, anebo má jen hroší kůži, se kterou se snaží vymanévrovat z této - podle pozorovatelů již prohrané - politické krize?
Postion	Tokenization
1	Je
2	skutečně
3	nevinný
4	,
5	anebo
6	má
7	jen
8	hroší
9	kůži
10	,
11	se
12	kterou
13	se
14	snaží
15	vymanévrovat
16	z
17	této
18	-
19	podle
20	pozorovatelů
21	již
22	prohrané
23	-
24	politické
25	krize
26	?
Position	Tokenization	UPOS	Head	Deprel
1	Je	AUX	3	cop
2	skutečně	ADV	3	advmod
3	nevinný	ADJ	0	root
4	,	PUNCT	6	punct
5	anebo	CCONJ	6	cc
6	má	VERB	3	conj
7	jen	PART	6	advmod:emph
8	hroší	ADJ	9	amod
9	kůži	NOUN	6	obj
10	,	PUNCT	14	punct
11	se	ADP	12	case
12	kterou	DET	15	obl
13	se	PRON	14	expl:pv
14	snaží	VERB	9	acl:relcl
15	vymanévrovat	VERB	14	xcomp
16	z	ADP	25	case
17	této	DET	25	det
18	-	PUNCT	22	punct
19	podle	ADP	20	case
20	pozorovatelů	NOUN	22	dep
21	již	ADV	22	dep
22	prohrané	ADJ	25	amod
23	-	PUNCT	22	punct
24	politické	ADJ	25	amod
25	krize	NOUN	15	obl
26	?	PUNCT	3	punct