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:
Tauta, anot tų filosofų ir nefilosofų, be galo silpna ir menka – jei neaptversi jos tvora, geriausiai netgi spygliuota viela, ji nedelsiant sužlugs.
Postion	Tokenization
1	Tauta
2	,
3	anot
4	tų
5	filosofų
6	ir
7	nefilosofų
8	,
9	be
10	galo
11	silpna
12	ir
13	menka
14	–
15	jei
16	neaptversi
17	jos
18	tvora
19	,
20	geriausiai
21	netgi
22	spygliuota
23	viela
24	,
25	ji
26	nedelsiant
27	sužlugs
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Tauta	NOUN	11	nsubj
2	,	PUNCT	5	punct
3	anot	ADP	5	case
4	tų	DET	5	det
5	filosofų	NOUN	11	parataxis
6	ir	CCONJ	7	cc
7	nefilosofų	NOUN	5	conj
8	,	PUNCT	5	punct
9	be	ADP	10	case
10	galo	NOUN	11	obl
11	silpna	ADJ	0	root
12	ir	CCONJ	13	cc
13	menka	ADJ	11	conj
14	–	PUNCT	16	punct
15	jei	SCONJ	16	mark
16	neaptversi	VERB	27	advcl
17	jos	PRON	16	obj
18	tvora	NOUN	16	obl
19	,	PUNCT	23	punct
20	geriausiai	ADV	23	amod
21	netgi	ADV	23	advmod
22	spygliuota	ADJ	23	amod
23	viela	NOUN	18	conj
24	,	PUNCT	16	punct
25	ji	PRON	27	nsubj
26	nedelsiant	ADV	27	advmod
27	sužlugs	VERB	11	parataxis
28	.	PUNCT	11	punct