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:
Státní zástupkyně se podle něj s největší pravděpodobností v zákonem stanovené lhůtě proti rozsudku odvolá, neboť se jí uložené tresty zdají příliš nízké.
Postion	Tokenization
1	Státní
2	zástupkyně
3	se
4	podle
5	něj
6	s
7	největší
8	pravděpodobností
9	v
10	zákonem
11	stanovené
12	lhůtě
13	proti
14	rozsudku
15	odvolá
16	,
17	neboť
18	se
19	jí
20	uložené
21	tresty
22	zdají
23	příliš
24	nízké
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Státní	ADJ	2	amod
2	zástupkyně	NOUN	15	nsubj
3	se	PRON	15	expl:pv
4	podle	ADP	5	case
5	něj	PRON	15	obl
6	s	ADP	8	case
7	největší	ADJ	8	amod
8	pravděpodobností	NOUN	15	obl
9	v	ADP	12	case
10	zákonem	NOUN	11	obl:arg
11	stanovené	ADJ	12	amod
12	lhůtě	NOUN	15	obl
13	proti	ADP	14	case
14	rozsudku	NOUN	15	obl:arg
15	odvolá	VERB	0	root
16	,	PUNCT	22	punct
17	neboť	CCONJ	22	cc
18	se	PRON	22	expl:pv
19	jí	PRON	22	obl:arg
20	uložené	ADJ	21	amod
21	tresty	NOUN	22	nsubj
22	zdají	VERB	15	conj
23	příliš	ADV	24	advmod
24	nízké	ADJ	22	obj
25	.	PUNCT	15	punct