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:
Tyto snahy jsou o to pochopitelnější, když si uvědomíme, že zde volby vyhráli převážně, byť přejmenovaní, komunisté (Iliescu, Alia, ...).
Postion	Tokenization
1	Tyto
2	snahy
3	jsou
4	o
5	to
6	pochopitelnější
7	,
8	když
9	si
10	uvědomíme
11	,
12	že
13	zde
14	volby
15	vyhráli
16	převážně
17	,
18	byť
19	přejmenovaní
20	,
21	komunisté
22	(
23	Iliescu
24	,
25	Alia
26	,
27	.
28	.
29	.
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Tyto	DET	2	det
2	snahy	NOUN	6	nsubj
3	jsou	AUX	6	cop
4	o	ADP	5	case
5	to	DET	6	obl
6	pochopitelnější	ADJ	0	root
7	,	PUNCT	10	punct
8	když	SCONJ	10	mark
9	si	PRON	10	expl:pv
10	uvědomíme	VERB	6	advcl
11	,	PUNCT	15	punct
12	že	SCONJ	15	mark
13	zde	ADV	15	advmod
14	volby	NOUN	15	obj
15	vyhráli	VERB	10	ccomp
16	převážně	ADV	15	advmod
17	,	PUNCT	19	punct
18	byť	SCONJ	19	mark
19	přejmenovaní	ADJ	15	dep
20	,	PUNCT	19	punct
21	komunisté	NOUN	15	nsubj
22	(	PUNCT	23	punct
23	Iliescu	PROPN	21	nsubj
24	,	PUNCT	25	punct
25	Alia	PROPN	23	conj
26	,	PUNCT	23	punct
27	.	PUNCT	23	punct
28	.	PUNCT	23	punct
29	.	PUNCT	23	punct
30	)	PUNCT	23	punct
31	.	PUNCT	6	punct