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:
Odečíst ztrátu může pochopitelně pouze ten, kdo podal daňové přiznání (zřizovací náklady jsou ve vašem případě částečně nebo zcela součástí ztráty).
Postion	Tokenization
1	Odečíst
2	ztrátu
3	může
4	pochopitelně
5	pouze
6	ten
7	,
8	kdo
9	podal
10	daňové
11	přiznání
12	(
13	zřizovací
14	náklady
15	jsou
16	ve
17	vašem
18	případě
19	částečně
20	nebo
21	zcela
22	součástí
23	ztráty
24	)
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Odečíst	VERB	3	xcomp
2	ztrátu	NOUN	1	obj
3	může	VERB	0	root
4	pochopitelně	ADV	3	advmod
5	pouze	ADV	6	advmod:emph
6	ten	DET	3	nsubj
7	,	PUNCT	9	punct
8	kdo	PRON	9	nsubj
9	podal	VERB	6	acl:relcl
10	daňové	ADJ	11	amod
11	přiznání	NOUN	9	obj
12	(	PUNCT	22	punct
13	zřizovací	ADJ	14	amod
14	náklady	NOUN	22	nsubj
15	jsou	AUX	22	cop
16	ve	ADP	18	case
17	vašem	DET	18	det
18	případě	NOUN	22	obl
19	částečně	ADV	22	advmod
20	nebo	CCONJ	21	cc
21	zcela	ADV	19	conj
22	součástí	NOUN	3	parataxis
23	ztráty	NOUN	22	nmod
24	)	PUNCT	22	punct
25	.	PUNCT	3	punct