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:
Snad se jednou splní sen fanoušků sheffieldských Steelers a britští hokejisté se stanou novodobými Robiny Hoody a stadion v Sheffieldu bude mít stejnou proslulost jako nedaleký Sherwoodský hvozd.
Postion	Tokenization
1	Snad
2	se
3	jednou
4	splní
5	sen
6	fanoušků
7	sheffieldských
8	Steelers
9	a
10	britští
11	hokejisté
12	se
13	stanou
14	novodobými
15	Robiny
16	Hoody
17	a
18	stadion
19	v
20	Sheffieldu
21	bude
22	mít
23	stejnou
24	proslulost
25	jako
26	nedaleký
27	Sherwoodský
28	hvozd
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Snad	ADV	4	advmod
2	se	PRON	4	expl:pv
3	jednou	NUM	4	obl
4	splní	VERB	0	root
5	sen	NOUN	4	nsubj
6	fanoušků	NOUN	5	nmod
7	sheffieldských	ADJ	8	amod
8	Steelers	PROPN	6	nmod
9	a	CCONJ	13	cc
10	britští	ADJ	11	amod
11	hokejisté	NOUN	13	nsubj
12	se	PRON	13	expl:pv
13	stanou	VERB	4	conj
14	novodobými	ADJ	15	amod
15	Robiny	PROPN	13	obl:arg
16	Hoody	PROPN	15	flat
17	a	CCONJ	22	cc
18	stadion	NOUN	22	nsubj
19	v	ADP	20	case
20	Sheffieldu	PROPN	18	nmod
21	bude	AUX	22	aux
22	mít	VERB	4	conj
23	stejnou	ADJ	24	amod
24	proslulost	NOUN	22	obj
25	jako	SCONJ	28	mark
26	nedaleký	ADJ	28	amod
27	Sherwoodský	ADJ	28	amod
28	hvozd	NOUN	23	advcl
29	.	PUNCT	4	punct