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:
Service was average, but nothing special, and restaurants that are supposed to be excellent should do a better job of training their waitstaff to be communicative and friendly, not merely capable.
Postion	Tokenization
1	Service
2	was
3	average
4	,
5	but
6	nothing
7	special
8	,
9	and
10	restaurants
11	that
12	are
13	supposed
14	to
15	be
16	excellent
17	should
18	do
19	a
20	better
21	job
22	of
23	training
24	their
25	waitstaff
26	to
27	be
28	communicative
29	and
30	friendly
31	,
32	not
33	merely
34	capable
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Service	NOUN	3	nsubj
2	was	AUX	3	cop
3	average	ADJ	0	root
4	,	PUNCT	6	punct
5	but	CCONJ	6	cc
6	nothing	PRON	3	conj
7	special	ADJ	6	amod
8	,	PUNCT	18	punct
9	and	CCONJ	18	cc
10	restaurants	NOUN	18	nsubj
11	that	PRON	13	nsubj
12	are	AUX	13	aux
13	supposed	VERB	10	acl:relcl
14	to	PART	16	mark
15	be	AUX	16	cop
16	excellent	ADJ	13	xcomp
17	should	AUX	18	aux
18	do	VERB	3	conj
19	a	DET	21	det
20	better	ADJ	21	amod
21	job	NOUN	18	obj
22	of	SCONJ	23	mark
23	training	VERB	21	acl
24	their	PRON	25	nmod:poss
25	waitstaff	NOUN	23	obj
26	to	PART	28	mark
27	be	AUX	28	cop
28	communicative	ADJ	23	xcomp
29	and	CCONJ	30	cc
30	friendly	ADJ	28	conj
31	,	PUNCT	34	punct
32	not	ADV	34	advmod
33	merely	ADV	34	advmod
34	capable	ADJ	28	conj
35	.	PUNCT	3	punct