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 text: "Martell se nám jako sponzor nejvíce zamlouval a jednání s ním bylo nejkorektnější," řekl ředitel agentury Libor Hloušek, "a propojení dvou největších steeplechase Evropy jedním sponzorem vidíme pro budoucnost Velké pardubické jako šťastné."
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	Martell	PROPN	8	nsubj
3	se	PRON	8	expl:pv
4	nám	PRON	8	obl:arg
5	jako	SCONJ	6	mark
6	sponzor	NOUN	2	xcomp
7	nejvíce	ADV	8	advmod
8	zamlouval	VERB	0	root
9	a	CCONJ	14	cc
10	jednání	NOUN	14	nsubj
11	s	ADP	12	case
12	ním	PRON	10	nmod
13	bylo	AUX	14	cop
14	nejkorektnější	ADJ	8	conj
15	,	PUNCT	8	punct
16	"	PUNCT	8	punct
17	řekl	VERB	8	conj
18	ředitel	NOUN	17	nsubj
19	agentury	NOUN	18	nmod
20	Libor	PROPN	18	flat
21	Hloušek	PROPN	18	flat
22	,	PUNCT	18	punct
23	"	PUNCT	32	punct
24	a	CCONJ	32	cc
25	propojení	NOUN	32	obj
26	dvou	NUM	28	nummod
27	největších	ADJ	28	amod
28	steeplechase	NOUN	25	nmod
29	Evropy	PROPN	28	nmod
30	jedním	NUM	31	nummod
31	sponzorem	NOUN	25	nmod
32	vidíme	VERB	8	conj
33	pro	ADP	34	case
34	budoucnost	NOUN	32	obl
35	Velké	ADJ	34	dep
36	pardubické	ADJ	34	dep
37	jako	SCONJ	38	mark
38	šťastné	ADJ	25	xcomp
39	.	PUNCT	8	punct
40	"	PUNCT	8	punct