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:
Beveik visi garsieji mūsų intelektualai pasuko arba pradeda sukti ne Sokrato, o Strepsiado keliu, nors jau du tūkstančius penkis šimtus metų – ir ne be pagrindo – manoma, kad intelektualui labiau dera Sokrato kelias.
Postion	Tokenization
1	Beveik
2	visi
3	garsieji
4	mūsų
5	intelektualai
6	pasuko
7	arba
8	pradeda
9	sukti
10	ne
11	Sokrato
12	,
13	o
14	Strepsiado
15	keliu
16	,
17	nors
18	jau
19	du
20	tūkstančius
21	penkis
22	šimtus
23	metų
24	–
25	ir
26	ne
27	be
28	pagrindo
29	–
30	manoma
31	,
32	kad
33	intelektualui
34	labiau
35	dera
36	Sokrato
37	kelias
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Beveik	ADV	2	advmod
2	visi	DET	5	det
3	garsieji	ADJ	5	amod
4	mūsų	DET	5	det
5	intelektualai	NOUN	6	nsubj
6	pasuko	VERB	0	root
7	arba	CCONJ	8	cc
8	pradeda	VERB	6	conj
9	sukti	VERB	8	xcomp
10	ne	PART	11	advmod
11	Sokrato	PROPN	15	nmod
12	,	PUNCT	14	punct
13	o	CCONJ	14	cc
14	Strepsiado	PROPN	11	conj
15	keliu	NOUN	9	iobj
16	,	PUNCT	30	punct
17	nors	SCONJ	30	mark
18	jau	PART	23	advmod:emph
19	du	NUM	22	compound
20	tūkstančius	NUM	22	compound
21	penkis	NUM	22	compound
22	šimtus	NUM	23	nummod:gov
23	metų	NOUN	30	obl
24	–	PUNCT	28	punct
25	ir	CCONJ	28	cc
26	ne	PART	28	advmod
27	be	ADP	28	case
28	pagrindo	NOUN	23	parataxis
29	–	PUNCT	28	punct
30	manoma	VERB	6	advcl
31	,	PUNCT	35	punct
32	kad	SCONJ	35	mark
33	intelektualui	NOUN	35	obj
34	labiau	ADV	35	advmod
35	dera	VERB	30	ccomp
36	Sokrato	PROPN	37	nmod
37	kelias	NOUN	35	nsubj
38	.	PUNCT	6	punct