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:
Fúzi v hodnotě přesahující deset miliard dolarů jako pokračování rozsáhlé konsolidace zbrojního průmyslu oznámily včera Americké koncerny Lockheed Corp. a Martin Marietta Corp.
Postion	Tokenization
1	Fúzi
2	v
3	hodnotě
4	přesahující
5	deset
6	miliard
7	dolarů
8	jako
9	pokračování
10	rozsáhlé
11	konsolidace
12	zbrojního
13	průmyslu
14	oznámily
15	včera
16	Americké
17	koncerny
18	Lockheed
19	Corp
20	.
21	a
22	Martin
23	Marietta
24	Corp
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Fúzi	NOUN	14	obj
2	v	ADP	3	case
3	hodnotě	NOUN	1	nmod
4	přesahující	ADJ	3	amod
5	deset	NUM	6	nummod:gov
6	miliard	NOUN	4	obj
7	dolarů	NOUN	6	nmod
8	jako	SCONJ	9	mark
9	pokračování	NOUN	1	xcomp
10	rozsáhlé	ADJ	11	amod
11	konsolidace	NOUN	9	nmod
12	zbrojního	ADJ	13	amod
13	průmyslu	NOUN	11	nmod
14	oznámily	VERB	0	root
15	včera	ADV	14	advmod
16	Americké	ADJ	17	amod
17	koncerny	NOUN	14	nsubj
18	Lockheed	PROPN	19	nmod
19	Corp	PROPN	17	nmod
20	.	PUNCT	19	punct
21	a	CCONJ	24	cc
22	Martin	PROPN	24	nmod
23	Marietta	PROPN	22	flat
24	Corp	PROPN	19	conj
25	.	PUNCT	14	punct