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:
Nemohu si v této souvislosti odpustit zeptat se A. Pludka, proč se v období normalizace nikdy podobně neozval proti porušování lidských práv, jehož byl denně svědkem.
Postion	Tokenization
1	Nemohu
2	si
3	v
4	této
5	souvislosti
6	odpustit
7	zeptat
8	se
9	A
10	.
11	Pludka
12	,
13	proč
14	se
15	v
16	období
17	normalizace
18	nikdy
19	podobně
20	neozval
21	proti
22	porušování
23	lidských
24	práv
25	,
26	jehož
27	byl
28	denně
29	svědkem
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Nemohu	VERB	0	root
2	si	PRON	6	expl:pv
3	v	ADP	5	case
4	této	DET	5	det
5	souvislosti	NOUN	6	obl
6	odpustit	VERB	1	xcomp
7	zeptat	VERB	6	xcomp
8	se	PRON	7	expl:pv
9	A	PROPN	7	iobj
10	.	PUNCT	9	punct
11	Pludka	PROPN	9	flat
12	,	PUNCT	20	punct
13	proč	ADV	20	advmod
14	se	PRON	20	expl:pv
15	v	ADP	16	case
16	období	NOUN	20	obl
17	normalizace	NOUN	16	nmod
18	nikdy	ADV	20	advmod
19	podobně	ADV	20	advmod
20	neozval	VERB	7	ccomp
21	proti	ADP	22	case
22	porušování	NOUN	20	obl
23	lidských	ADJ	24	amod
24	práv	NOUN	22	nmod
25	,	PUNCT	29	punct
26	jehož	PRON	29	nmod
27	byl	AUX	29	cop
28	denně	ADV	29	advmod
29	svědkem	NOUN	22	acl:relcl
30	.	PUNCT	1	punct