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:
Většina Čechů a Slováků je z rozpadu federace na dva státy smutná, protože byli hrdí na Československo, ze kterého vytvořili nejlepší demokracii východní Evropy.
Postion	Tokenization
1	Většina
2	Čechů
3	a
4	Slováků
5	je
6	z
7	rozpadu
8	federace
9	na
10	dva
11	státy
12	smutná
13	,
14	protože
15	byli
16	hrdí
17	na
18	Československo
19	,
20	ze
21	kterého
22	vytvořili
23	nejlepší
24	demokracii
25	východní
26	Evropy
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Většina	NOUN	12	nsubj
2	Čechů	PROPN	1	nmod
3	a	CCONJ	4	cc
4	Slováků	PROPN	2	conj
5	je	AUX	12	cop
6	z	ADP	7	case
7	rozpadu	NOUN	12	obl
8	federace	NOUN	7	nmod
9	na	ADP	11	case
10	dva	NUM	11	nummod
11	státy	NOUN	7	nmod
12	smutná	ADJ	0	root
13	,	PUNCT	16	punct
14	protože	SCONJ	16	mark
15	byli	AUX	16	cop
16	hrdí	ADJ	12	advcl
17	na	ADP	18	case
18	Československo	PROPN	16	obl:arg
19	,	PUNCT	22	punct
20	ze	ADP	21	case
21	kterého	DET	22	obl:arg
22	vytvořili	VERB	18	acl:relcl
23	nejlepší	ADJ	24	amod
24	demokracii	NOUN	22	obj
25	východní	ADJ	26	amod
26	Evropy	PROPN	24	nmod
27	.	PUNCT	12	punct