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:
Tiesa, Lenkijoje gajesnis ir protestas prieš tuos reiškinius – yra stipri, net galinga intelektualių grupė, nuo Adamo Michniko ligi Andrzejaus Wajdos, kuri puikiai analizuoja ir stabdo.
Postion	Tokenization
1	Tiesa
2	,
3	Lenkijoje
4	gajesnis
5	ir
6	protestas
7	prieš
8	tuos
9	reiškinius
10	–
11	yra
12	stipri
13	,
14	net
15	galinga
16	intelektualių
17	grupė
18	,
19	nuo
20	Adamo
21	Michniko
22	ligi
23	Andrzejaus
24	Wajdos
25	,
26	kuri
27	puikiai
28	analizuoja
29	ir
30	stabdo
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Tiesa	NOUN	4	parataxis
2	,	PUNCT	1	punct
3	Lenkijoje	PROPN	4	obl
4	gajesnis	ADJ	0	root
5	ir	PART	4	advmod:emph
6	protestas	NOUN	4	nsubj
7	prieš	ADP	8	case
8	tuos	DET	9	det
9	reiškinius	NOUN	6	nmod
10	–	PUNCT	11	punct
11	yra	VERB	4	parataxis
12	stipri	ADJ	17	amod
13	,	PUNCT	15	punct
14	net	PART	15	advmod:emph
15	galinga	ADJ	12	conj
16	intelektualių	NOUN	17	nmod
17	grupė	NOUN	11	nsubj
18	,	PUNCT	20	punct
19	nuo	ADP	20	case
20	Adamo	PROPN	17	nmod
21	Michniko	PROPN	20	flat
22	ligi	ADP	23	case
23	Andrzejaus	PROPN	17	nmod
24	Wajdos	PROPN	23	flat
25	,	PUNCT	28	punct
26	kuri	PRON	28	nsubj
27	puikiai	ADV	28	advmod
28	analizuoja	VERB	17	acl:relcl
29	ir	CCONJ	30	cc
30	stabdo	VERB	28	conj
31	.	PUNCT	4	punct