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:
We have since moved slightly further away from the centre but it's worth the extra travel, as the care provided exceeds our expectations... especially after a few horrendous daycare experiences elsewhere.
Postion	Tokenization
1	We
2	have
3	since
4	moved
5	slightly
6	further
7	away
8	from
9	the
10	centre
11	but
12	it's
13	it
14	's
15	worth
16	the
17	extra
18	travel
19	,
20	as
21	the
22	care
23	provided
24	exceeds
25	our
26	expectations
27	...
28	especially
29	after
30	a
31	few
32	horrendous
33	daycare
34	experiences
35	elsewhere
36	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	4	nsubj
2	have	AUX	4	aux
3	since	ADV	4	advmod
4	moved	VERB	0	root
5	slightly	ADV	6	advmod
6	further	ADV	4	advmod
7	away	ADV	6	advmod
8	from	ADP	10	case
9	the	DET	10	det
10	centre	NOUN	6	obl
11	but	CCONJ	14	cc
12	it's	_	None	_
13	it	PRON	14	nsubj
14	's	AUX	14	cop
15	worth	ADJ	4	conj
16	the	DET	17	det
17	extra	ADJ	17	amod
18	travel	NOUN	14	obj
19	,	PUNCT	14	punct
20	as	SCONJ	23	mark
21	the	DET	21	det
22	care	NOUN	23	nsubj
23	provided	VERB	21	acl
24	exceeds	VERB	14	advcl
25	our	PRON	25	nmod:poss
26	expectations	NOUN	23	obj
27	...	PUNCT	14	punct
28	especially	ADV	33	advmod
29	after	ADP	33	case
30	a	DET	33	det
31	few	ADJ	33	amod
32	horrendous	ADJ	33	amod
33	daycare	NOUN	33	compound
34	experiences	NOUN	14	obl
35	elsewhere	ADV	33	advmod
36	.	PUNCT	4	punct