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:
He took it back and they would not honor a warranty and said it was his fault because of his shoes??
Postion	Tokenization
1	He
2	took
3	it
4	back
5	and
6	they
7	would
8	not
9	honor
10	a
11	warranty
12	and
13	said
14	it
15	was
16	his
17	fault
18	because
19	of
20	his
21	shoes
22	??
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	2	nsubj
2	took	VERB	0	root
3	it	PRON	2	obj
4	back	ADV	2	advmod
5	and	CCONJ	9	cc
6	they	PRON	9	nsubj
7	would	AUX	9	aux
8	not	PART	9	advmod
9	honor	VERB	2	conj
10	a	DET	11	det
11	warranty	NOUN	9	obj
12	and	CCONJ	13	cc
13	said	VERB	9	conj
14	it	PRON	17	nsubj
15	was	AUX	17	cop
16	his	PRON	17	nmod:poss
17	fault	NOUN	13	ccomp
18	because	ADP	21	case
19	of	ADP	18	fixed
20	his	PRON	21	nmod:poss
21	shoes	NOUN	17	obl
22	??	PUNCT	2	punct