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:
The graphics are without a doubt the amoung the best graphics I have ever seen for any game and I have been gaming since the MUD days.
Postion	Tokenization
1	The
2	graphics
3	are
4	without
5	a
6	doubt
7	the
8	amoung
9	the
10	best
11	graphics
12	I
13	have
14	ever
15	seen
16	for
17	any
18	game
19	and
20	I
21	have
22	been
23	gaming
24	since
25	the
26	MUD
27	days
28	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	graphics	NOUN	11	nsubj
3	are	AUX	11	cop
4	without	ADP	6	case
5	a	DET	6	det
6	doubt	NOUN	11	obl
7	the	DET	11	reparandum
8	amoung	ADP	11	case
9	the	DET	11	det
10	best	ADJ	11	amod
11	graphics	NOUN	0	root
12	I	PRON	15	nsubj
13	have	AUX	15	aux
14	ever	ADV	15	advmod
15	seen	VERB	11	acl:relcl
16	for	ADP	18	case
17	any	DET	18	det
18	game	NOUN	15	obl
19	and	CCONJ	23	cc
20	I	PRON	23	nsubj
21	have	AUX	23	aux
22	been	AUX	23	aux
23	gaming	VERB	11	conj
24	since	ADP	27	case
25	the	DET	27	det
26	MUD	NOUN	27	compound
27	days	NOUN	23	obl
28	.	PUNCT	11	punct