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:
I'm nothing more than a devoted fan of the game myself and I hope that this area can become a haven for deep fan discussions.
Postion	Tokenization
1	I'm
2	I
3	'm
4	nothing
5	more
6	than
7	a
8	devoted
9	fan
10	of
11	the
12	game
13	myself
14	and
15	I
16	hope
17	that
18	this
19	area
20	can
21	become
22	a
23	haven
24	for
25	deep
26	fan
27	discussions
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I'm	_	None	_
2	I	PRON	3	nsubj
3	'm	AUX	3	cop
4	nothing	PRON	0	root
5	more	ADJ	3	amod
6	than	ADP	8	case
7	a	DET	8	det
8	devoted	ADJ	8	amod
9	fan	NOUN	4	obl
10	of	ADP	11	case
11	the	DET	11	det
12	game	NOUN	8	nmod
13	myself	PRON	1	nmod:npmod
14	and	CCONJ	15	cc
15	I	PRON	15	nsubj
16	hope	VERB	3	conj
17	that	SCONJ	20	mark
18	this	DET	18	det
19	area	NOUN	20	nsubj
20	can	AUX	20	aux
21	become	VERB	15	ccomp
22	a	DET	22	det
23	haven	NOUN	20	xcomp
24	for	ADP	26	case
25	deep	ADJ	26	amod
26	fan	NOUN	26	compound
27	discussions	NOUN	22	nmod
28	.	PUNCT	3	punct