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:
Leitmotivem debat nebyla nostalgie po společném státě, ale spíše informace o tom, co o sobě, dva roky po rozvodu, už nevíme.
Postion	Tokenization
1	Leitmotivem
2	debat
3	nebyla
4	nostalgie
5	po
6	společném
7	státě
8	_
9	,
10	ale
11	spíše
12	informace
13	o
14	tom
15	,
16	co
17	o
18	sobě
19	,
20	dva
21	roky
22	po
23	rozvodu
24	,
25	už
26	nevíme
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Leitmotivem	NOUN	0	root
2	debat	NOUN	1	nmod
3	nebyla	AUX	1	cop
4	nostalgie	NOUN	1	nsubj
5	po	ADP	7	case
6	společném	ADJ	7	amod
7	státě	NOUN	4	nmod
8	_	_	None	_
9	,	PUNCT	10	punct
10	ale	CCONJ	10	cc
11	spíše	ADV	1	conj
12	informace	NOUN	10	orphan
13	o	ADP	13	case
14	tom	DET	11	det
15	,	PUNCT	25	punct
16	co	PRON	25	obj
17	o	ADP	17	case
18	sobě	PRON	25	obl:arg
19	,	PUNCT	20	punct
20	dva	NUM	20	nummod
21	roky	NOUN	25	obl
22	po	ADP	22	case
23	rozvodu	NOUN	20	nmod
24	,	PUNCT	20	punct
25	už	ADV	25	advmod
26	nevíme	VERB	13	acl:relcl
27	.	PUNCT	1	punct