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:
Sąjūdžio laikais buvo lengviausia išjudinti mases, pabrėžiant tautinį momentą, nes tai nereikalauja gilesnės refleksijos – į tautinius šūkius dauguma reaguoja automatiškai ar beveik automatiškai, tautinė savigarba yra savaime kilnus dalykas.
Postion	Tokenization
1	Sąjūdžio
2	laikais
3	buvo
4	lengviausia
5	išjudinti
6	mases
7	,
8	pabrėžiant
9	tautinį
10	momentą
11	,
12	nes
13	tai
14	nereikalauja
15	gilesnės
16	refleksijos
17	–
18	į
19	tautinius
20	šūkius
21	dauguma
22	reaguoja
23	automatiškai
24	ar
25	beveik
26	automatiškai
27	,
28	tautinė
29	savigarba
30	yra
31	savaime
32	kilnus
33	dalykas
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Sąjūdžio	PROPN	2	nmod
2	laikais	NOUN	4	obl
3	buvo	AUX	4	aux
4	lengviausia	ADJ	0	root
5	išjudinti	VERB	4	xcomp
6	mases	NOUN	5	obj
7	,	PUNCT	8	punct
8	pabrėžiant	VERB	5	advcl
9	tautinį	ADJ	10	amod
10	momentą	NOUN	8	obj
11	,	PUNCT	14	punct
12	nes	SCONJ	14	mark
13	tai	PRON	14	nsubj
14	nereikalauja	VERB	4	advcl
15	gilesnės	ADJ	16	amod
16	refleksijos	NOUN	14	obj
17	–	PUNCT	18	punct
18	į	ADP	20	case
19	tautinius	ADJ	20	amod
20	šūkius	NOUN	22	obl
21	dauguma	NOUN	22	nsubj
22	reaguoja	VERB	14	parataxis
23	automatiškai	ADV	22	advmod
24	ar	CCONJ	26	cc
25	beveik	ADV	26	advmod
26	automatiškai	ADV	23	conj
27	,	PUNCT	33	punct
28	tautinė	ADJ	29	amod
29	savigarba	NOUN	33	nsubj
30	yra	AUX	33	cop
31	savaime	ADV	32	advmod
32	kilnus	ADJ	33	amod
33	dalykas	NOUN	22	conj
34	.	PUNCT	4	punct