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:
Toyota razí filozofii, že se nápady a jejich realizace neodměňují, protože jsou výsledkem kolektivní práce a slouží ke zlepšení pracovních podmínek všech pracovníků skupiny.
Postion	Tokenization
1	Toyota
2	razí
3	filozofii
4	,
5	že
6	se
7	nápady
8	a
9	jejich
10	realizace
11	neodměňují
12	,
13	protože
14	jsou
15	výsledkem
16	kolektivní
17	práce
18	a
19	slouží
20	ke
21	zlepšení
22	pracovních
23	podmínek
24	všech
25	pracovníků
26	skupiny
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Toyota	PROPN	2	nsubj
2	razí	VERB	0	root
3	filozofii	NOUN	2	obj
4	,	PUNCT	11	punct
5	že	SCONJ	11	mark
6	se	PRON	11	expl:pass
7	nápady	NOUN	11	nsubj:pass
8	a	CCONJ	10	cc
9	jejich	DET	10	det
10	realizace	NOUN	7	conj
11	neodměňují	VERB	3	acl
12	,	PUNCT	15	punct
13	protože	SCONJ	15	mark
14	jsou	AUX	15	cop
15	výsledkem	NOUN	11	advcl
16	kolektivní	ADJ	17	amod
17	práce	NOUN	15	nmod
18	a	CCONJ	19	cc
19	slouží	VERB	15	conj
20	ke	ADP	21	case
21	zlepšení	NOUN	19	obl:arg
22	pracovních	ADJ	23	amod
23	podmínek	NOUN	21	nmod
24	všech	DET	25	det
25	pracovníků	NOUN	23	nmod
26	skupiny	NOUN	25	nmod
27	.	PUNCT	2	punct