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:
Bet turbūt nebus nekuklu, jei pasakysime, kad turime būti lietuviškais Faidonais, Faidrais arba Kritonais – mokiniais, atsakingais už savo mokytojo minčių sklaidą ir už jo atminimą.
Postion	Tokenization
1	Bet
2	turbūt
3	nebus
4	nekuklu
5	,
6	jei
7	pasakysime
8	,
9	kad
10	turime
11	būti
12	lietuviškais
13	Faidonais
14	,
15	Faidrais
16	arba
17	Kritonais
18	–
19	mokiniais
20	,
21	atsakingais
22	už
23	savo
24	mokytojo
25	minčių
26	sklaidą
27	ir
28	už
29	jo
30	atminimą
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Bet	CCONJ	4	cc
2	turbūt	PART	4	advmod:emph
3	nebus	AUX	4	cop
4	nekuklu	ADJ	0	root
5	,	PUNCT	7	punct
6	jei	SCONJ	7	mark
7	pasakysime	VERB	4	advcl
8	,	PUNCT	10	punct
9	kad	SCONJ	10	mark
10	turime	VERB	7	ccomp
11	būti	AUX	13	aux
12	lietuviškais	ADJ	13	amod
13	Faidonais	PROPN	10	xcomp
14	,	PUNCT	15	punct
15	Faidrais	PROPN	13	conj
16	arba	CCONJ	17	cc
17	Kritonais	PROPN	13	conj
18	–	PUNCT	19	punct
19	mokiniais	NOUN	13	appos
20	,	PUNCT	21	punct
21	atsakingais	ADJ	19	acl
22	už	ADP	26	case
23	savo	DET	24	det
24	mokytojo	NOUN	25	nmod
25	minčių	NOUN	26	obj
26	sklaidą	NOUN	21	obl
27	ir	CCONJ	30	cc
28	už	ADP	29	case
29	jo	DET	30	det
30	atminimą	NOUN	26	conj
31	.	PUNCT	4	punct