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:
When the fence was first installed I would have given them five stars, now for their poor customer follow-up and unwillingness to fix the fence they have dropped to a one-star in my opinion!
Postion	Tokenization
1	When
2	the
3	fence
4	was
5	first
6	installed
7	I
8	would
9	have
10	given
11	them
12	five
13	stars
14	,
15	now
16	for
17	their
18	poor
19	customer
20	follow
21	-
22	up
23	and
24	unwillingness
25	to
26	fix
27	the
28	fence
29	they
30	have
31	dropped
32	to
33	a
34	one
35	-
36	star
37	in
38	my
39	opinion
40	!
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	6	mark
2	the	DET	3	det
3	fence	NOUN	6	nsubj:pass
4	was	AUX	6	aux:pass
5	first	ADV	6	advmod
6	installed	VERB	10	advcl
7	I	PRON	10	nsubj
8	would	AUX	10	aux
9	have	AUX	10	aux
10	given	VERB	0	root
11	them	PRON	10	iobj
12	five	NUM	13	nummod
13	stars	NOUN	10	obj
14	,	PUNCT	10	punct
15	now	ADV	31	advmod
16	for	ADP	22	case
17	their	PRON	22	nmod:poss
18	poor	ADJ	22	amod
19	customer	NOUN	22	compound
20	follow	NOUN	22	compound
21	-	PUNCT	22	punct
22	up	NOUN	31	obl
23	and	CCONJ	24	cc
24	unwillingness	NOUN	22	conj
25	to	PART	26	mark
26	fix	VERB	24	acl
27	the	DET	28	det
28	fence	NOUN	26	obj
29	they	PRON	31	nsubj
30	have	AUX	31	aux
31	dropped	VERB	10	parataxis
32	to	ADP	36	case
33	a	DET	36	det
34	one	NUM	36	nummod
35	-	PUNCT	36	punct
36	star	NOUN	31	obl
37	in	ADP	39	case
38	my	PRON	39	nmod:poss
39	opinion	NOUN	31	obl
40	!	PUNCT	10	punct