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 service was friendly and fast, but this just doesnt make up for the lack-luster product.
Postion	Tokenization
1	The
2	service
3	was
4	friendly
5	and
6	fast
7	,
8	but
9	this
10	just
11	doesnt
12	does
13	nt
14	make
15	up
16	for
17	the
18	lack
19	-
20	luster
21	product
22	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	service	NOUN	4	nsubj
3	was	AUX	4	cop
4	friendly	ADJ	0	root
5	and	CCONJ	6	cc
6	fast	ADJ	4	conj
7	,	PUNCT	13	punct
8	but	CCONJ	13	cc
9	this	PRON	13	nsubj
10	just	ADV	13	advmod
11	doesnt	_	None	_
12	does	AUX	13	aux
13	nt	PART	13	advmod
14	make	VERB	4	conj
15	up	ADP	13	compound:prt
16	for	ADP	20	case
17	the	DET	20	det
18	lack	ADJ	19	amod
19	-	PUNCT	19	punct
20	luster	ADJ	20	amod
21	product	NOUN	13	obl
22	.	PUNCT	4	punct