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:
Our fence was installed quickly in August and they had their money and left saying "Workmanship is guaranteed for a year!".
Postion	Tokenization
1	Our
2	fence
3	was
4	installed
5	quickly
6	in
7	August
8	and
9	they
10	had
11	their
12	money
13	and
14	left
15	saying
16	"
17	Workmanship
18	is
19	guaranteed
20	for
21	a
22	year
23	!
24	"
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Our	PRON	2	nmod:poss
2	fence	NOUN	4	nsubj:pass
3	was	AUX	4	aux:pass
4	installed	VERB	0	root
5	quickly	ADV	4	advmod
6	in	ADP	7	case
7	August	PROPN	4	obl
8	and	CCONJ	10	cc
9	they	PRON	10	nsubj
10	had	VERB	4	conj
11	their	PRON	12	nmod:poss
12	money	NOUN	10	obj
13	and	CCONJ	14	cc
14	left	VERB	10	conj
15	saying	VERB	14	xcomp
16	"	PUNCT	15	punct
17	Workmanship	NOUN	19	nsubj:pass
18	is	AUX	19	aux:pass
19	guaranteed	VERB	15	ccomp
20	for	ADP	22	case
21	a	DET	22	det
22	year	NOUN	19	obl
23	!	PUNCT	4	punct
24	"	PUNCT	4	punct
25	.	PUNCT	4	punct