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:
Pridursiu, kad man asmeniškai lietuvių tautos ir kalbos klestėjimas yra ypač svarbus, nes esu ne tik publicistas, bet pirmiausia poetas – taigi man rūpi lietuviško žodžio likimas.
Postion	Tokenization
1	Pridursiu
2	,
3	kad
4	man
5	asmeniškai
6	lietuvių
7	tautos
8	ir
9	kalbos
10	klestėjimas
11	yra
12	ypač
13	svarbus
14	,
15	nes
16	esu
17	ne
18	tik
19	publicistas
20	,
21	bet
22	pirmiausia
23	poetas
24	–
25	taigi
26	man
27	rūpi
28	lietuviško
29	žodžio
30	likimas
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Pridursiu	VERB	0	root
2	,	PUNCT	13	punct
3	kad	SCONJ	13	mark
4	man	PRON	13	obj
5	asmeniškai	ADV	4	advmod
6	lietuvių	ADJ	7	amod
7	tautos	NOUN	10	nmod
8	ir	CCONJ	9	cc
9	kalbos	NOUN	7	conj
10	klestėjimas	NOUN	13	nsubj
11	yra	AUX	13	cop
12	ypač	ADV	13	advmod
13	svarbus	ADJ	1	ccomp
14	,	PUNCT	19	punct
15	nes	SCONJ	19	mark
16	esu	AUX	19	cop
17	ne	PART	19	cc
18	tik	ADV	17	fixed
19	publicistas	NOUN	13	advcl
20	,	PUNCT	23	punct
21	bet	CCONJ	23	cc
22	pirmiausia	ADV	23	parataxis
23	poetas	NOUN	19	conj
24	–	PUNCT	27	punct
25	taigi	CCONJ	27	cc
26	man	PRON	27	obj
27	rūpi	VERB	19	conj
28	lietuviško	ADJ	29	amod
29	žodžio	NOUN	30	nmod
30	likimas	NOUN	27	nsubj
31	.	PUNCT	1	punct