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:
Turi atsirasti nauja valstybinė ir tautinė sąmonė, tokia kaip dabartinių vokiečių, anglų ar prancūzų, o ne tokia, kaip Radio Maryja lenkų arba Dugino bei Prochanovo rusų.
Postion	Tokenization
1	Turi
2	atsirasti
3	nauja
4	valstybinė
5	ir
6	tautinė
7	sąmonė
8	,
9	tokia
10	kaip
11	dabartinių
12	vokiečių
13	,
14	anglų
15	ar
16	prancūzų
17	,
18	o
19	ne
20	tokia
21	,
22	kaip
23	Radio
24	Maryja
25	lenkų
26	arba
27	Dugino
28	bei
29	Prochanovo
30	rusų
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Turi	VERB	0	root
2	atsirasti	VERB	3	xcomp
3	nauja	ADJ	7	amod
4	valstybinė	ADJ	7	amod
5	ir	CCONJ	6	cc
6	tautinė	ADJ	4	conj
7	sąmonė	NOUN	1	nsubj
8	,	PUNCT	9	punct
9	tokia	DET	7	appos
10	kaip	SCONJ	11	mark
11	dabartinių	ADJ	12	amod
12	vokiečių	NOUN	9	acl
13	,	PUNCT	14	punct
14	anglų	NOUN	12	conj
15	ar	CCONJ	16	cc
16	prancūzų	NOUN	12	conj
17	,	PUNCT	20	punct
18	o	CCONJ	20	cc
19	ne	PART	20	advmod
20	tokia	DET	9	conj
21	,	PUNCT	23	punct
22	kaip	SCONJ	23	mark
23	Radio	NOUN	20	acl
24	Maryja	PROPN	23	appos
25	lenkų	NOUN	23	nmod
26	arba	CCONJ	27	cc
27	Dugino	PROPN	23	conj
28	bei	CCONJ	29	cc
29	Prochanovo	PROPN	27	conj
30	rusų	NOUN	27	orphan
31	.	PUNCT	1	punct