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:
A v této změně přítomnost a podíl ženy jako nositelky pravých hodnot života, země a dítěte bude mít podle mého názoru největší důležitost a váhu.
Postion	Tokenization
1	A
2	v
3	této
4	změně
5	přítomnost
6	a
7	podíl
8	ženy
9	jako
10	nositelky
11	pravých
12	hodnot
13	života
14	,
15	země
16	a
17	dítěte
18	bude
19	mít
20	podle
21	mého
22	názoru
23	největší
24	důležitost
25	a
26	váhu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	A	CCONJ	19	cc
2	v	ADP	4	case
3	této	DET	4	det
4	změně	NOUN	19	obl
5	přítomnost	NOUN	19	nsubj
6	a	CCONJ	7	cc
7	podíl	NOUN	5	conj
8	ženy	NOUN	5	nmod
9	jako	SCONJ	10	mark
10	nositelky	NOUN	8	xcomp
11	pravých	ADJ	12	amod
12	hodnot	NOUN	10	nmod
13	života	NOUN	12	nmod
14	,	PUNCT	15	punct
15	země	NOUN	13	conj
16	a	CCONJ	17	cc
17	dítěte	NOUN	12	conj
18	bude	AUX	19	aux
19	mít	VERB	0	root
20	podle	ADP	22	case
21	mého	DET	22	det
22	názoru	NOUN	19	obl
23	největší	ADJ	24	amod
24	důležitost	NOUN	19	obj
25	a	CCONJ	26	cc
26	váhu	NOUN	24	conj
27	.	PUNCT	19	punct