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:
It was the fault of the parts supplier, and can we imagine how he felt having to put another 2 hours of work in the car.
Postion	Tokenization
1	It
2	was
3	the
4	fault
5	of
6	the
7	parts
8	supplier
9	,
10	and
11	can
12	we
13	imagine
14	how
15	he
16	felt
17	having
18	to
19	put
20	another
21	2
22	hours
23	of
24	work
25	in
26	the
27	car
28	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	4	nsubj
2	was	AUX	4	cop
3	the	DET	4	det
4	fault	NOUN	0	root
5	of	ADP	8	case
6	the	DET	8	det
7	parts	NOUN	8	compound
8	supplier	NOUN	4	nmod
9	,	PUNCT	13	punct
10	and	CCONJ	13	cc
11	can	AUX	13	aux
12	we	PRON	13	nsubj
13	imagine	VERB	4	conj
14	how	SCONJ	16	mark
15	he	PRON	16	nsubj
16	felt	VERB	13	ccomp
17	having	VERB	16	advcl
18	to	PART	19	mark
19	put	VERB	17	xcomp
20	another	DET	22	det
21	2	NUM	22	nummod
22	hours	NOUN	19	obj
23	of	ADP	24	case
24	work	NOUN	22	nmod
25	in	ADP	27	case
26	the	DET	27	det
27	car	NOUN	19	obl
28	.	PUNCT	4	punct