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 docela dobře možné, že budoucnost dá zjednodušeným pohledům zvenčí za pravdu: Slováci Čechy a Češi Slováky vidí díky neinformovanosti, která je také nadhledem, vlastně správně.
Postion	Tokenization
1	Je
2	docela
3	dobře
4	možné
5	,
6	že
7	budoucnost
8	dá
9	zjednodušeným
10	pohledům
11	zvenčí
12	za
13	pravdu
14	:
15	Slováci
16	Čechy
17	a
18	Češi
19	Slováky
20	vidí
21	díky
22	neinformovanosti
23	,
24	která
25	je
26	také
27	nadhledem
28	,
29	vlastně
30	správně
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Je	AUX	4	cop
2	docela	ADV	3	advmod
3	dobře	ADV	4	advmod
4	možné	ADJ	0	root
5	,	PUNCT	8	punct
6	že	SCONJ	8	mark
7	budoucnost	NOUN	8	nsubj
8	dá	VERB	4	csubj
9	zjednodušeným	ADJ	10	amod
10	pohledům	NOUN	8	obl:arg
11	zvenčí	ADV	10	advmod
12	za	ADP	13	case
13	pravdu	NOUN	8	obl:arg
14	:	PUNCT	15	punct
15	Slováci	PROPN	4	conj
16	Čechy	PROPN	15	conj
17	a	CCONJ	20	cc
18	Češi	PROPN	20	nsubj
19	Slováky	PROPN	20	obj
20	vidí	VERB	15	conj
21	díky	ADP	22	case
22	neinformovanosti	NOUN	20	obl
23	,	PUNCT	27	punct
24	která	DET	27	nsubj
25	je	AUX	27	cop
26	také	ADV	27	advmod
27	nadhledem	NOUN	22	acl:relcl
28	,	PUNCT	27	punct
29	vlastně	ADV	20	advmod
30	správně	ADV	20	advmod
31	.	PUNCT	4	punct