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 suggest a "blind draw" on the teams, best ball not scramble on the golf, and as for the wager, no emails from the losing team for one week!
Postion	Tokenization
1	I
2	suggest
3	a
4	"
5	blind
6	draw
7	"
8	on
9	the
10	teams
11	,
12	best
13	ball
14	not
15	scramble
16	on
17	the
18	golf
19	,
20	and
21	as
22	for
23	the
24	wager
25	,
26	no
27	emails
28	from
29	the
30	losing
31	team
32	for
33	one
34	week
35	!
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	suggest	VERB	0	root
3	a	DET	6	det
4	"	PUNCT	6	punct
5	blind	ADJ	6	amod
6	draw	NOUN	2	obj
7	"	PUNCT	6	punct
8	on	ADP	10	case
9	the	DET	10	det
10	teams	NOUN	6	nmod
11	,	PUNCT	6	punct
12	best	ADJ	13	amod
13	ball	NOUN	6	parataxis
14	not	CCONJ	15	cc
15	scramble	NOUN	13	conj
16	on	ADP	18	case
17	the	DET	18	det
18	golf	NOUN	15	nmod
19	,	PUNCT	27	punct
20	and	CCONJ	27	cc
21	as	ADP	24	case
22	for	ADP	21	fixed
23	the	DET	24	det
24	wager	NOUN	27	nmod
25	,	PUNCT	27	punct
26	no	DET	27	det
27	emails	NOUN	2	conj
28	from	ADP	31	case
29	the	DET	31	det
30	losing	VERB	31	amod
31	team	NOUN	27	nmod
32	for	ADP	34	case
33	one	NUM	34	nummod
34	week	NOUN	27	nmod
35	!	PUNCT	2	punct