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:
Kaip visi žinome, Sokratas buvo atėniečių nuteistas ir turėjo išgerti taurę nuodų – tiesa, tai įvyko žymiai vėliau, bet jo kaltintojai daugmaž kartojo Strepsiado argmentus.
Postion	Tokenization
1	Kaip
2	visi
3	žinome
4	,
5	Sokratas
6	buvo
7	atėniečių
8	nuteistas
9	ir
10	turėjo
11	išgerti
12	taurę
13	nuodų
14	–
15	tiesa
16	,
17	tai
18	įvyko
19	žymiai
20	vėliau
21	,
22	bet
23	jo
24	kaltintojai
25	daugmaž
26	kartojo
27	Strepsiado
28	argmentus
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Kaip	SCONJ	3	mark
2	visi	PRON	3	nsubj
3	žinome	VERB	8	parataxis
4	,	PUNCT	3	punct
5	Sokratas	PROPN	8	nsubj
6	buvo	AUX	8	aux
7	atėniečių	NOUN	8	obl:agent
8	nuteistas	VERB	0	root
9	ir	CCONJ	10	cc
10	turėjo	VERB	8	conj
11	išgerti	VERB	10	xcomp
12	taurę	NOUN	11	obj
13	nuodų	NOUN	12	nmod
14	–	PUNCT	18	punct
15	tiesa	NOUN	18	parataxis
16	,	PUNCT	15	punct
17	tai	PRON	18	nsubj
18	įvyko	VERB	8	parataxis
19	žymiai	ADV	20	advmod
20	vėliau	ADV	18	advmod
21	,	PUNCT	26	punct
22	bet	CCONJ	26	cc
23	jo	DET	24	det
24	kaltintojai	NOUN	26	nsubj
25	daugmaž	ADV	26	advmod
26	kartojo	VERB	18	conj
27	Strepsiado	PROPN	28	nmod
28	argmentus	NOUN	26	obj
29	.	PUNCT	8	punct