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 automobilový koncern Saab dosáhl po velkých ztrátách v předchozích letech v loňském roce hrubého zisku 702 milióny švédských korun (144 miliónů DEM).
Postion	Tokenization
1	Švédský
2	automobilový
3	koncern
4	Saab
5	dosáhl
6	po
7	velkých
8	ztrátách
9	v
10	předchozích
11	letech
12	v
13	loňském
14	roce
15	hrubého
16	zisku
17	702
18	milióny
19	švédských
20	korun
21	(
22	144
23	miliónů
24	DEM
25	)
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Švédský	ADJ	3	amod
2	automobilový	ADJ	3	amod
3	koncern	NOUN	5	nsubj
4	Saab	PROPN	3	nmod
5	dosáhl	VERB	0	root
6	po	ADP	8	case
7	velkých	ADJ	8	amod
8	ztrátách	NOUN	5	obl
9	v	ADP	11	case
10	předchozích	ADJ	11	amod
11	letech	NOUN	8	nmod
12	v	ADP	14	case
13	loňském	ADJ	14	amod
14	roce	NOUN	5	obl
15	hrubého	ADJ	16	amod
16	zisku	NOUN	5	obl:arg
17	702	NUM	18	nummod
18	milióny	NOUN	16	nmod
19	švédských	ADJ	20	amod
20	korun	NOUN	18	nmod
21	(	PUNCT	22	punct
22	144	NUM	23	nummod:gov
23	miliónů	NOUN	18	appos
24	DEM	NOUN	23	nmod
25	)	PUNCT	5	punct
26	.	PUNCT	5	punct