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 tų laikų Atėnuose žydų nebuvo, ir apie juos vargu ar kas buvo girdėjęs – beje, kaip ir Jeruzalėje vargu ar buvo girdėję apie Atėnus.
Postion	Tokenization
1	Bet
2	tų
3	laikų
4	Atėnuose
5	žydų
6	nebuvo
7	,
8	ir
9	apie
10	juos
11	vargu
12	ar
13	kas
14	buvo
15	girdėjęs
16	–
17	beje
18	,
19	kaip
20	ir
21	Jeruzalėje
22	vargu
23	ar
24	buvo
25	girdėję
26	apie
27	Atėnus
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Bet	CCONJ	6	cc
2	tų	DET	3	det
3	laikų	NOUN	4	nmod
4	Atėnuose	PROPN	6	obl
5	žydų	NOUN	6	nsubj
6	nebuvo	VERB	0	root
7	,	PUNCT	15	punct
8	ir	CCONJ	15	cc
9	apie	ADP	10	case
10	juos	PRON	15	obl
11	vargu	PART	15	advmod:emph
12	ar	PART	11	fixed
13	kas	PRON	15	nsubj
14	buvo	AUX	15	aux
15	girdėjęs	VERB	6	conj
16	–	PUNCT	25	punct
17	beje	PART	25	parataxis
18	,	PUNCT	17	punct
19	kaip	SCONJ	25	mark
20	ir	PART	21	advmod:emph
21	Jeruzalėje	PROPN	25	obl
22	vargu	PART	25	advmod:emph
23	ar	PART	22	fixed
24	buvo	AUX	25	aux
25	girdėję	VERB	15	conj
26	apie	ADP	27	case
27	Atėnus	PROPN	25	obl
28	.	PUNCT	6	punct