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:
Federální soud v Los Angeles uložil softwarovému gigantu Microsoft nahradit odškodné 120 milionů dolarů ve prospěch firmy Stac Elektronics Co, protože neoprávněně použil technologii svého nesrovnatelně menšího konkurenta.
Postion	Tokenization
1	Federální
2	soud
3	v
4	Los
5	Angeles
6	uložil
7	softwarovému
8	gigantu
9	Microsoft
10	nahradit
11	odškodné
12	120
13	milionů
14	dolarů
15	ve
16	prospěch
17	firmy
18	Stac
19	Elektronics
20	Co
21	,
22	protože
23	neoprávněně
24	použil
25	technologii
26	svého
27	nesrovnatelně
28	menšího
29	konkurenta
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Federální	ADJ	2	amod
2	soud	NOUN	6	nsubj
3	v	ADP	4	case
4	Los	ADJ	2	nmod
5	Angeles	PROPN	4	flat:foreign
6	uložil	VERB	0	root
7	softwarovému	ADJ	8	amod
8	gigantu	NOUN	6	obl:arg
9	Microsoft	PROPN	8	nmod
10	nahradit	VERB	6	xcomp
11	odškodné	NOUN	10	obj
12	120	NUM	13	nummod
13	milionů	NOUN	11	nmod
14	dolarů	NOUN	13	nmod
15	ve	ADP	17	case
16	prospěch	NOUN	15	fixed
17	firmy	NOUN	10	obl
18	Stac	PROPN	19	nmod
19	Elektronics	PROPN	17	nmod
20	Co	PROPN	19	flat:foreign
21	,	PUNCT	24	punct
22	protože	SCONJ	24	mark
23	neoprávněně	ADV	24	advmod
24	použil	VERB	10	advcl
25	technologii	NOUN	24	obj
26	svého	DET	29	det
27	nesrovnatelně	ADV	28	advmod
28	menšího	ADJ	29	amod
29	konkurenta	NOUN	25	nmod
30	.	PUNCT	6	punct