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:
Roman působí, jak známo, v Tampa Bay Lightning, méně úspěšný Martin se loni neprosadil do prvního mužstva Hartfordu a přestoupil do St. Louis, kde ho s největší pravděpodobností opět čeká farmářský tým.
Postion	Tokenization
1	Roman
2	působí
3	,
4	jak
5	známo
6	,
7	v
8	Tampa
9	Bay
10	Lightning
11	,
12	méně
13	úspěšný
14	Martin
15	se
16	loni
17	neprosadil
18	do
19	prvního
20	mužstva
21	Hartfordu
22	a
23	přestoupil
24	do
25	St
26	.
27	Louis
28	,
29	kde
30	ho
31	s
32	největší
33	pravděpodobností
34	opět
35	čeká
36	farmářský
37	tým
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Roman	PROPN	2	nsubj
2	působí	VERB	0	root
3	,	PUNCT	2	punct
4	jak	SCONJ	2	dep
5	známo	ADJ	2	dep
6	,	PUNCT	2	punct
7	v	ADP	10	case
8	Tampa	PROPN	10	nmod
9	Bay	PROPN	10	nmod
10	Lightning	PROPN	2	obl
11	,	PUNCT	17	punct
12	méně	ADV	13	advmod
13	úspěšný	ADJ	14	amod
14	Martin	PROPN	17	nsubj
15	se	PRON	17	obj
16	loni	ADV	17	advmod
17	neprosadil	VERB	2	conj
18	do	ADP	20	case
19	prvního	ADJ	20	amod
20	mužstva	NOUN	17	obl
21	Hartfordu	PROPN	20	nmod
22	a	CCONJ	23	cc
23	přestoupil	VERB	17	conj
24	do	ADP	27	case
25	St	ADJ	27	amod
26	.	PUNCT	25	punct
27	Louis	PROPN	23	obl
28	,	PUNCT	35	punct
29	kde	ADV	35	advmod
30	ho	PRON	35	obj
31	s	ADP	33	case
32	největší	ADJ	33	amod
33	pravděpodobností	NOUN	35	obl
34	opět	ADV	35	advmod
35	čeká	VERB	27	acl:relcl
36	farmářský	ADJ	37	amod
37	tým	NOUN	35	nsubj
38	.	PUNCT	2	punct