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:
Excellent service, Not only did they get the exact car I wanted win in 48 hours but the sales man also took me out to lunch.
Postion	Tokenization
1	Excellent
2	service
3	,
4	Not
5	only
6	did
7	they
8	get
9	the
10	exact
11	car
12	I
13	wanted
14	win
15	in
16	48
17	hours
18	but
19	the
20	sales
21	man
22	also
23	took
24	me
25	out
26	to
27	lunch
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Excellent	ADJ	2	amod
2	service	NOUN	0	root
3	,	PUNCT	2	punct
4	Not	ADV	5	advmod
5	only	ADV	8	cc:preconj
6	did	AUX	8	aux
7	they	PRON	8	nsubj
8	get	VERB	2	parataxis
9	the	DET	11	det
10	exact	ADJ	11	amod
11	car	NOUN	8	obj
12	I	PRON	13	nsubj
13	wanted	VERB	11	acl:relcl
14	win	X	17	case
15	in	ADP	14	goeswith
16	48	NUM	17	nummod
17	hours	NOUN	13	obl
18	but	CCONJ	23	cc
19	the	DET	21	det
20	sales	NOUN	21	compound
21	man	NOUN	23	nsubj
22	also	ADV	23	advmod
23	took	VERB	8	conj
24	me	PRON	23	obj
25	out	ADV	23	advmod
26	to	ADP	27	case
27	lunch	NOUN	25	obl
28	.	PUNCT	2	punct