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:
Švédský výrobce nákladních automobilů a letecké techniky Saab -Scania bude k letošnímu květnu rozdělen na dvě nezávislé společnosti Saab AB a Scania AB.
Postion	Tokenization
1	Švédský
2	výrobce
3	nákladních
4	automobilů
5	a
6	letecké
7	techniky
8	Saab
9	-
10	Scania
11	bude
12	k
13	letošnímu
14	květnu
15	rozdělen
16	na
17	dvě
18	nezávislé
19	společnosti
20	Saab
21	AB
22	a
23	Scania
24	AB
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Švédský	ADJ	2	amod
2	výrobce	NOUN	15	nsubj:pass
3	nákladních	ADJ	4	amod
4	automobilů	NOUN	2	nmod
5	a	CCONJ	7	cc
6	letecké	ADJ	7	amod
7	techniky	NOUN	4	conj
8	Saab	PROPN	2	nmod
9	-	PUNCT	10	punct
10	Scania	PROPN	8	flat
11	bude	AUX	15	aux:pass
12	k	ADP	14	case
13	letošnímu	ADJ	14	amod
14	květnu	NOUN	15	obl
15	rozdělen	ADJ	0	root
16	na	ADP	19	case
17	dvě	NUM	19	nummod
18	nezávislé	ADJ	19	amod
19	společnosti	NOUN	15	obl
20	Saab	PROPN	19	nmod
21	AB	PROPN	20	nmod
22	a	CCONJ	23	cc
23	Scania	PROPN	20	conj
24	AB	PROPN	23	nmod
25	.	PUNCT	15	punct