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:
Trochu více než jiní jsem si také asi vědom reality v parlamentu, konstatoval a dodal, že takové řešení je neobvyklé a skoro nikde nebylo průchodné.
Postion	Tokenization
1	Trochu
2	více
3	než
4	jiní
5	jsem
6	si
7	také
8	asi
9	vědom
10	reality
11	v
12	parlamentu
13	,
14	konstatoval
15	a
16	dodal
17	,
18	že
19	takové
20	řešení
21	je
22	neobvyklé
23	a
24	skoro
25	nikde
26	nebylo
27	průchodné
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Trochu	ADV	2	advmod
2	více	ADV	9	advmod
3	než	SCONJ	4	mark
4	jiní	ADJ	2	advcl
5	jsem	AUX	9	cop
6	si	PRON	9	expl:pv
7	také	ADV	9	advmod
8	asi	PART	9	cc
9	vědom	ADJ	14	ccomp
10	reality	NOUN	9	obl:arg
11	v	ADP	12	case
12	parlamentu	NOUN	10	nmod
13	,	PUNCT	9	punct
14	konstatoval	VERB	0	root
15	a	CCONJ	16	cc
16	dodal	VERB	14	conj
17	,	PUNCT	22	punct
18	že	SCONJ	22	mark
19	takové	DET	20	det
20	řešení	NOUN	22	nsubj
21	je	AUX	22	cop
22	neobvyklé	ADJ	16	ccomp
23	a	CCONJ	27	cc
24	skoro	ADV	25	advmod:emph
25	nikde	ADV	27	advmod
26	nebylo	AUX	27	cop
27	průchodné	ADJ	22	conj
28	.	PUNCT	14	punct