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:
V něm měla sněmovna mj. konstatovat, že si je vědoma zcela výjimečného charakteru křivd spáchaných v letech nesvobody 1938 až 1945 a proto zákon přijímá.
Postion	Tokenization
1	V
2	něm
3	měla
4	sněmovna
5	mj
6	.
7	konstatovat
8	,
9	že
10	si
11	je
12	vědoma
13	zcela
14	výjimečného
15	charakteru
16	křivd
17	spáchaných
18	v
19	letech
20	nesvobody
21	1938
22	až
23	1945
24	a
25	proto
26	zákon
27	přijímá
28	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	něm	PRON	3	obl
3	měla	VERB	0	root
4	sněmovna	NOUN	3	nsubj
5	mj	ADV	7	advmod
6	.	PUNCT	5	punct
7	konstatovat	VERB	3	xcomp
8	,	PUNCT	12	punct
9	že	SCONJ	12	mark
10	si	PRON	12	expl:pv
11	je	AUX	12	cop
12	vědoma	ADJ	7	ccomp
13	zcela	ADV	14	advmod
14	výjimečného	ADJ	15	amod
15	charakteru	NOUN	12	obl:arg
16	křivd	NOUN	15	nmod
17	spáchaných	ADJ	16	amod
18	v	ADP	19	case
19	letech	NOUN	17	obl
20	nesvobody	NOUN	19	nmod
21	1938	NUM	19	nummod
22	až	CCONJ	23	cc
23	1945	NUM	21	conj
24	a	CCONJ	27	cc
25	proto	CCONJ	27	cc
26	zákon	NOUN	27	obj
27	přijímá	VERB	12	conj
28	.	PUNCT	3	punct