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:
Was fast and easy, Just had our car returned this morning, I would recommend these Mobile Mechanics for sure.
Postion	Tokenization
1	Was
2	fast
3	and
4	easy
5	,
6	Just
7	had
8	our
9	car
10	returned
11	this
12	morning
13	,
14	I
15	would
16	recommend
17	these
18	Mobile
19	Mechanics
20	for
21	sure
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Was	AUX	2	cop
2	fast	ADJ	0	root
3	and	CCONJ	4	cc
4	easy	ADJ	2	conj
5	,	PUNCT	2	punct
6	Just	ADV	7	advmod
7	had	VERB	2	parataxis
8	our	PRON	9	nmod:poss
9	car	NOUN	7	obj
10	returned	VERB	7	xcomp
11	this	DET	12	det
12	morning	NOUN	10	obl:tmod
13	,	PUNCT	2	punct
14	I	PRON	16	nsubj
15	would	AUX	16	aux
16	recommend	VERB	2	parataxis
17	these	DET	19	det
18	Mobile	ADJ	19	amod
19	Mechanics	NOUN	16	obj
20	for	ADP	21	case
21	sure	ADJ	16	obl
22	.	PUNCT	2	punct