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 text: Zisk největší japonské automobilky Toyota sice za poslední finanční rok klesl o 29 % na 125.81 miliardy jenů, podle představitelů společnosti však tento vývoj již dospěl ke dnu a nyní se čeká již jen zlepšení.
Position	Tokenization	UPOS	Head	Deprel
1	Zisk	NOUN	11	nsubj
2	největší	ADJ	4	amod
3	japonské	ADJ	4	amod
4	automobilky	NOUN	1	nmod
5	Toyota	PROPN	4	nmod
6	sice	ADV	11	cc
7	za	ADP	10	case
8	poslední	ADJ	10	amod
9	finanční	ADJ	10	amod
10	rok	NOUN	11	obl
11	klesl	VERB	0	root
12	o	ADP	13	case
13	29	NUM	11	obl
14	%	SYM	13	nmod
15	na	ADP	17	case
16	125.81	NUM	17	nummod:gov
17	miliardy	NOUN	11	obl:arg
18	jenů	NOUN	17	nmod
19	,	PUNCT	27	punct
20	podle	ADP	21	case
21	představitelů	NOUN	27	obl
22	společnosti	NOUN	21	nmod
23	však	CCONJ	27	cc
24	tento	DET	25	det
25	vývoj	NOUN	27	nsubj
26	již	ADV	27	advmod
27	dospěl	VERB	11	conj
28	ke	ADP	29	case
29	dnu	NOUN	27	obl
30	a	CCONJ	33	cc
31	nyní	ADV	33	advmod
32	se	PRON	33	expl:pass
33	čeká	VERB	11	conj
34	již	ADV	33	advmod
35	jen	PART	36	advmod:emph
36	zlepšení	NOUN	33	nsubj:pass
37	.	PUNCT	11	punct