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:
Víme, že je u vás velká tradice letecké výroby a máte kvalitní pracovníky , řekl Stefan Mazareanu , z oddělení marketingu, kde má na starost také ČR.
Postion	Tokenization
1	Víme
2	,
3	že
4	je
5	u
6	vás
7	velká
8	tradice
9	letecké
10	výroby
11	a
12	máte
13	kvalitní
14	pracovníky
15	,
16	řekl
17	Stefan
18	Mazareanu
19	,
20	z
21	oddělení
22	marketingu
23	,
24	kde
25	má
26	na
27	starost
28	také
29	ČR
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Víme	VERB	16	ccomp
2	,	PUNCT	4	punct
3	že	SCONJ	4	mark
4	je	VERB	1	ccomp
5	u	ADP	6	case
6	vás	PRON	4	obl
7	velká	ADJ	8	amod
8	tradice	NOUN	4	nsubj
9	letecké	ADJ	10	amod
10	výroby	NOUN	8	nmod
11	a	CCONJ	12	cc
12	máte	VERB	4	conj
13	kvalitní	ADJ	14	amod
14	pracovníky	NOUN	12	obj
15	,	PUNCT	1	punct
16	řekl	VERB	0	root
17	Stefan	PROPN	16	nsubj
18	Mazareanu	PROPN	17	flat
19	,	PUNCT	21	punct
20	z	ADP	21	case
21	oddělení	NOUN	17	nmod
22	marketingu	NOUN	21	nmod
23	,	PUNCT	25	punct
24	kde	ADV	25	advmod
25	má	VERB	21	acl:relcl
26	na	ADP	27	case
27	starost	NOUN	25	obl:arg
28	také	ADV	25	advmod
29	ČR	PROPN	25	obj
30	.	PUNCT	16	punct