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:
Šiandien daug kas įtartų, kad Sokratas yra žydas, ar bent turėjo žydę motiną, o jei ne, tai jo žmona Ksantipė tikriausia žydė.
Postion	Tokenization
1	Šiandien
2	daug
3	kas
4	įtartų
5	,
6	kad
7	Sokratas
8	yra
9	žydas
10	,
11	ar
12	bent
13	turėjo
14	žydę
15	motiną
16	,
17	o
18	jei
19	ne
20	,
21	tai
22	jo
23	žmona
24	Ksantipė
25	tikriausia
26	žydė
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Šiandien	ADV	2	advmod
2	daug	ADV	4	nsubj
3	kas	PRON	2	fixed
4	įtartų	VERB	0	root
5	,	PUNCT	9	punct
6	kad	SCONJ	9	mark
7	Sokratas	PROPN	9	nsubj
8	yra	AUX	9	cop
9	žydas	NOUN	4	ccomp
10	,	PUNCT	13	punct
11	ar	CCONJ	13	cc
12	bent	PART	13	advmod:emph
13	turėjo	VERB	9	conj
14	žydę	NOUN	15	amod
15	motiną	NOUN	13	obj
16	,	PUNCT	19	punct
17	o	CCONJ	19	cc
18	jei	SCONJ	19	mark
19	ne	PART	26	advcl
20	,	PUNCT	26	punct
21	tai	SCONJ	26	mark
22	jo	DET	23	det
23	žmona	NOUN	24	nmod
24	Ksantipė	PROPN	26	nsubj
25	tikriausia	ADJ	26	advmod
26	žydė	NOUN	9	conj
27	.	PUNCT	4	punct