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 have ate here 3 times since they first opened, and the service has been poor each time, the staff always comes across as somewhat rude and slow.
Postion	Tokenization
1	I
2	have
3	ate
4	here
5	3
6	times
7	since
8	they
9	first
10	opened
11	,
12	and
13	the
14	service
15	has
16	been
17	poor
18	each
19	time
20	,
21	the
22	staff
23	always
24	comes
25	across
26	as
27	somewhat
28	rude
29	and
30	slow
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	have	AUX	3	aux
3	ate	VERB	0	root
4	here	ADV	3	advmod
5	3	NUM	6	nummod
6	times	NOUN	3	obl:tmod
7	since	SCONJ	10	mark
8	they	PRON	10	nsubj
9	first	ADV	10	advmod
10	opened	VERB	3	advcl
11	,	PUNCT	17	punct
12	and	CCONJ	17	cc
13	the	DET	14	det
14	service	NOUN	17	nsubj
15	has	AUX	17	aux
16	been	AUX	17	cop
17	poor	ADJ	3	conj
18	each	DET	19	det
19	time	NOUN	17	obl:tmod
20	,	PUNCT	24	punct
21	the	DET	22	det
22	staff	NOUN	24	nsubj
23	always	ADV	24	advmod
24	comes	VERB	3	conj
25	across	ADV	24	advmod
26	as	ADP	28	case
27	somewhat	ADV	28	advmod
28	rude	ADJ	24	obl
29	and	CCONJ	30	cc
30	slow	ADJ	28	conj
31	.	PUNCT	3	punct