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:
So yes, I wouldn't hesitate in recommending the team at Just Autos for easy professional car repairs,Thank you Just Autos for your help.
Postion	Tokenization
1	So
2	yes
3	,
4	I
5	wouldn't
6	would
7	n't
8	hesitate
9	in
10	recommending
11	the
12	team
13	at
14	Just
15	Autos
16	for
17	easy
18	professional
19	car
20	repairs
21	,
22	Thank
23	you
24	Just
25	Autos
26	for
27	your
28	help
29	.
Position	Tokenization	UPOS	Head	Deprel
1	So	ADV	7	advmod
2	yes	INTJ	7	discourse
3	,	PUNCT	7	punct
4	I	PRON	7	nsubj
5	wouldn't	_	None	_
6	would	AUX	7	aux
7	n't	PART	7	advmod
8	hesitate	VERB	0	root
9	in	SCONJ	9	mark
10	recommending	VERB	7	advcl
11	the	DET	11	det
12	team	NOUN	9	obj
13	at	ADP	14	case
14	Just	PROPN	14	compound
15	Autos	PROPN	11	nmod
16	for	ADP	19	case
17	easy	ADJ	19	amod
18	professional	ADJ	19	amod
19	car	NOUN	19	compound
20	repairs	NOUN	9	obl
21	,	PUNCT	7	punct
22	Thank	VERB	7	parataxis
23	you	PRON	21	obj
24	Just	PROPN	24	compound
25	Autos	PROPN	21	vocative
26	for	ADP	27	case
27	your	PRON	27	nmod:poss
28	help	NOUN	21	obl
29	.	PUNCT	7	punct