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:
"Bohužel na tři faxy vedoucím představitelům Detroitu a na dva faxy viceprezidentovi NHL O 'Neilovi jsme nedostali žádnou odpověď," uvedl předseda Sparty.
Postion	Tokenization
1	"
2	Bohužel
3	na
4	tři
5	faxy
6	vedoucím
7	představitelům
8	Detroitu
9	a
10	na
11	dva
12	faxy
13	viceprezidentovi
14	NHL
15	O
16	'
17	Neilovi
18	jsme
19	nedostali
20	žádnou
21	odpověď
22	,
23	"
24	uvedl
25	předseda
26	Sparty
27	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	19	punct
2	Bohužel	PART	19	advmod
3	na	ADP	5	case
4	tři	NUM	5	nummod
5	faxy	NOUN	21	nmod
6	vedoucím	ADJ	7	amod
7	představitelům	NOUN	5	nmod
8	Detroitu	PROPN	7	nmod
9	a	CCONJ	12	cc
10	na	ADP	12	case
11	dva	NUM	12	nummod
12	faxy	NOUN	5	conj
13	viceprezidentovi	NOUN	12	nmod
14	NHL	PROPN	13	nmod
15	O	PROPN	13	flat
16	'	PUNCT	15	punct
17	Neilovi	PROPN	13	flat
18	jsme	AUX	19	aux
19	nedostali	VERB	24	ccomp
20	žádnou	DET	21	det
21	odpověď	NOUN	19	obj
22	,	PUNCT	19	punct
23	"	PUNCT	19	punct
24	uvedl	VERB	0	root
25	předseda	NOUN	24	nsubj
26	Sparty	PROPN	25	nmod
27	.	PUNCT	24	punct