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:
Daugeliui tas „eurokolaboravimas“ Iš esmės nesiskiria nuo kolaboravimo su sovietais, nebent yra dar blogesnis, nes tauta dabar nyksta greitesniu tempu.
Postion	Tokenization
1	Daugeliui
2	tas
3	„
4	eurokolaboravimas
5	“
6	Iš
7	esmės
8	nesiskiria
9	nuo
10	kolaboravimo
11	su
12	sovietais
13	,
14	nebent
15	yra
16	dar
17	blogesnis
18	,
19	nes
20	tauta
21	dabar
22	nyksta
23	greitesniu
24	tempu
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Daugeliui	NOUN	8	obl
2	tas	DET	4	det
3	„	PUNCT	4	punct
4	eurokolaboravimas	NOUN	8	nsubj
5	“	PUNCT	4	punct
6	Iš	ADP	7	case
7	esmės	ADV	8	obl
8	nesiskiria	VERB	0	root
9	nuo	ADP	10	case
10	kolaboravimo	NOUN	8	obl
11	su	ADP	12	case
12	sovietais	NOUN	10	nmod
13	,	PUNCT	14	punct
14	nebent	SCONJ	17	mark
15	yra	AUX	17	cop
16	dar	ADV	17	advmod
17	blogesnis	ADJ	8	advcl
18	,	PUNCT	22	punct
19	nes	SCONJ	22	mark
20	tauta	NOUN	22	nsubj
21	dabar	ADV	22	obl
22	nyksta	VERB	17	advcl
23	greitesniu	ADJ	24	amod
24	tempu	NOUN	22	obl
25	.	PUNCT	8	punct