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 use them for my restaurant and always get compliments on the sleek look of the mac system not to mention how good the support is.
Postion	Tokenization
1	I
2	use
3	them
4	for
5	my
6	restaurant
7	and
8	always
9	get
10	compliments
11	on
12	the
13	sleek
14	look
15	of
16	the
17	mac
18	system
19	not
20	to
21	mention
22	how
23	good
24	the
25	support
26	is
27	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	use	VERB	0	root
3	them	PRON	2	obj
4	for	ADP	6	case
5	my	PRON	6	nmod:poss
6	restaurant	NOUN	2	obl
7	and	CCONJ	9	cc
8	always	ADV	9	advmod
9	get	VERB	2	conj
10	compliments	NOUN	9	obj
11	on	ADP	14	case
12	the	DET	14	det
13	sleek	ADJ	14	amod
14	look	NOUN	10	nmod
15	of	ADP	18	case
16	the	DET	18	det
17	mac	NOUN	18	compound
18	system	NOUN	14	nmod
19	not	ADV	23	cc
20	to	PART	19	fixed
21	mention	VERB	19	fixed
22	how	SCONJ	23	mark
23	good	ADJ	2	conj
24	the	DET	25	det
25	support	NOUN	23	nsubj
26	is	AUX	23	cop
27	.	PUNCT	2	punct