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:
Be to, jis domisi ne tik Atika, ne tik savuoju demu, kaip Strepsiadas, bet ir kitais kraštais, netgi visata – taigi yra aiškus globalistas, kosmopolitas.
Postion	Tokenization
1	Be
2	to
3	,
4	jis
5	domisi
6	ne
7	tik
8	Atika
9	,
10	ne
11	tik
12	savuoju
13	demu
14	,
15	kaip
16	Strepsiadas
17	,
18	bet
19	ir
20	kitais
21	kraštais
22	,
23	netgi
24	visata
25	–
26	taigi
27	yra
28	aiškus
29	globalistas
30	,
31	kosmopolitas
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Be	ADP	5	parataxis
2	to	PRON	1	fixed
3	,	PUNCT	1	punct
4	jis	PRON	5	nsubj
5	domisi	VERB	0	root
6	ne	CCONJ	8	cc
7	tik	ADV	6	fixed
8	Atika	PROPN	5	obj
9	,	PUNCT	13	punct
10	ne	CCONJ	13	cc
11	tik	ADV	10	fixed
12	savuoju	DET	13	det
13	demu	NOUN	8	conj
14	,	PUNCT	16	punct
15	kaip	SCONJ	16	case
16	Strepsiadas	PROPN	5	obl
17	,	PUNCT	21	punct
18	bet	CCONJ	21	cc
19	ir	CCONJ	20	advmod
20	kitais	ADJ	21	amod
21	kraštais	NOUN	8	conj
22	,	PUNCT	24	punct
23	netgi	PART	24	advmod:emph
24	visata	NOUN	21	conj
25	–	PUNCT	29	punct
26	taigi	PART	29	mark
27	yra	AUX	29	cop
28	aiškus	ADJ	29	amod
29	globalistas	NOUN	5	parataxis
30	,	PUNCT	31	punct
31	kosmopolitas	NOUN	29	appos
32	.	PUNCT	5	punct