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:
Pratt & Whitney spolupracuje také s Aero Vodochody na vývoji malého civilního letounu, který bude sloužit zejména k obchodním cestám a má přepravovat devět pasažérů.
Postion	Tokenization
1	Pratt
2	&
3	Whitney
4	spolupracuje
5	také
6	s
7	Aero
8	Vodochody
9	na
10	vývoji
11	malého
12	civilního
13	letounu
14	,
15	který
16	bude
17	sloužit
18	zejména
19	k
20	obchodním
21	cestám
22	a
23	má
24	přepravovat
25	devět
26	pasažérů
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Pratt	PROPN	4	nsubj
2	&	PUNCT	3	punct
3	Whitney	PROPN	1	conj
4	spolupracuje	VERB	0	root
5	také	ADV	4	advmod
6	s	ADP	7	case
7	Aero	PROPN	4	obl:arg
8	Vodochody	PROPN	7	nmod
9	na	ADP	10	case
10	vývoji	NOUN	4	obl:arg
11	malého	ADJ	13	amod
12	civilního	ADJ	13	amod
13	letounu	NOUN	10	nmod
14	,	PUNCT	17	punct
15	který	DET	17	nsubj
16	bude	AUX	17	aux
17	sloužit	VERB	13	acl:relcl
18	zejména	ADV	21	advmod:emph
19	k	ADP	21	case
20	obchodním	ADJ	21	amod
21	cestám	NOUN	17	obl
22	a	CCONJ	23	cc
23	má	VERB	17	conj
24	přepravovat	VERB	23	xcomp
25	devět	NUM	26	nummod:gov
26	pasažérů	NOUN	24	obj
27	.	PUNCT	4	punct