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:
Po odchodu původního top managementu v roce 1990, který tehdy převedl do jedné francouzské firmy nejlepší odborníky a výhodné zakázky, to pro podnik byla druhá velká rána.
Postion	Tokenization
1	Po
2	odchodu
3	původního
4	top
5	managementu
6	v
7	roce
8	1990
9	,
10	který
11	tehdy
12	převedl
13	do
14	jedné
15	francouzské
16	firmy
17	nejlepší
18	odborníky
19	a
20	výhodné
21	zakázky
22	,
23	to
24	pro
25	podnik
26	byla
27	druhá
28	velká
29	rána
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	2	case
2	odchodu	NOUN	29	obl
3	původního	ADJ	4	amod
4	top	ADJ	2	nmod
5	managementu	NOUN	4	flat:foreign
6	v	ADP	7	case
7	roce	NOUN	2	nmod
8	1990	NUM	7	nummod
9	,	PUNCT	12	punct
10	který	DET	12	nsubj
11	tehdy	ADV	12	advmod
12	převedl	VERB	4	acl:relcl
13	do	ADP	16	case
14	jedné	NUM	16	nummod
15	francouzské	ADJ	16	amod
16	firmy	NOUN	12	obl
17	nejlepší	ADJ	18	amod
18	odborníky	NOUN	12	obj
19	a	CCONJ	21	cc
20	výhodné	ADJ	21	amod
21	zakázky	NOUN	18	conj
22	,	PUNCT	29	punct
23	to	DET	29	nsubj
24	pro	ADP	25	case
25	podnik	NOUN	29	obl
26	byla	AUX	29	cop
27	druhá	ADJ	29	amod
28	velká	ADJ	29	amod
29	rána	NOUN	0	root
30	.	PUNCT	29	punct