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: Elbit, který je znám nekompromisní obchodní politikou, jen obratně využil situace: uchytil se ve fabrice, která je největším světovým výrobcem cvičných proudových letounů a ještě na tom pohádkově vydělal.
Position	Tokenization	UPOS	Head	Deprel
1	Elbit	PROPN	12	nsubj
2	,	PUNCT	5	punct
3	který	DET	5	nsubj
4	je	AUX	5	cop
5	znám	ADJ	1	acl:relcl
6	nekompromisní	ADJ	8	amod
7	obchodní	ADJ	8	amod
8	politikou	NOUN	5	obl:arg
9	,	PUNCT	5	punct
10	jen	PART	12	advmod:emph
11	obratně	ADV	12	advmod
12	využil	VERB	0	root
13	situace	NOUN	12	obl:arg
14	:	PUNCT	15	punct
15	uchytil	VERB	12	appos
16	se	PRON	15	expl:pv
17	ve	ADP	18	case
18	fabrice	NOUN	15	obl
19	,	PUNCT	24	punct
20	která	DET	24	nsubj
21	je	AUX	24	cop
22	největším	ADJ	24	amod
23	světovým	ADJ	24	amod
24	výrobcem	NOUN	18	acl:relcl
25	cvičných	ADJ	27	amod
26	proudových	ADJ	27	amod
27	letounů	NOUN	24	nmod
28	a	CCONJ	33	cc
29	ještě	ADV	33	advmod
30	na	ADP	31	case
31	tom	DET	33	obl:arg
32	pohádkově	ADV	33	advmod
33	vydělal	VERB	15	conj
34	.	PUNCT	12	punct