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:
"Čeští výrobci byli o povinné certifikaci informováni s časovým předstihem, takže si buď příslušné dokumenty vyřídili, nebo jejich kamiony vůbec nevyjely," dodal Grandič.
Postion	Tokenization
1	"
2	Čeští
3	výrobci
4	byli
5	o
6	povinné
7	certifikaci
8	informováni
9	s
10	časovým
11	předstihem
12	,
13	takže
14	si
15	buď
16	příslušné
17	dokumenty
18	vyřídili
19	,
20	nebo
21	jejich
22	kamiony
23	vůbec
24	nevyjely
25	,
26	"
27	dodal
28	Grandič
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	Čeští	ADJ	3	amod
3	výrobci	NOUN	8	nsubj
4	byli	AUX	8	cop
5	o	ADP	7	case
6	povinné	ADJ	7	amod
7	certifikaci	NOUN	8	obl:arg
8	informováni	ADJ	27	ccomp
9	s	ADP	11	case
10	časovým	ADJ	11	amod
11	předstihem	NOUN	8	obl
12	,	PUNCT	18	punct
13	takže	SCONJ	18	mark
14	si	PRON	18	obl
15	buď	CCONJ	18	cc
16	příslušné	ADJ	17	amod
17	dokumenty	NOUN	18	obj
18	vyřídili	VERB	8	advcl
19	,	PUNCT	24	punct
20	nebo	CCONJ	24	cc
21	jejich	DET	22	det
22	kamiony	NOUN	24	nsubj
23	vůbec	ADV	24	advmod:emph
24	nevyjely	VERB	18	conj
25	,	PUNCT	18	punct
26	"	PUNCT	8	punct
27	dodal	VERB	0	root
28	Grandič	PROPN	27	nsubj
29	.	PUNCT	27	punct