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:
If you are looking for towing services that can offer you a good towed car service, then Auto Towing is the company for you.
Postion	Tokenization
1	If
2	you
3	are
4	looking
5	for
6	towing
7	services
8	that
9	can
10	offer
11	you
12	a
13	good
14	towed
15	car
16	service
17	,
18	then
19	Auto
20	Towing
21	is
22	the
23	company
24	for
25	you
26	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	4	mark
2	you	PRON	4	nsubj
3	are	AUX	4	aux
4	looking	VERB	23	advcl
5	for	ADP	7	case
6	towing	NOUN	7	compound
7	services	NOUN	4	obl
8	that	PRON	10	nsubj
9	can	AUX	10	aux
10	offer	VERB	7	acl:relcl
11	you	PRON	10	iobj
12	a	DET	16	det
13	good	ADJ	16	amod
14	towed	VERB	15	amod
15	car	NOUN	16	compound
16	service	NOUN	10	obj
17	,	PUNCT	23	punct
18	then	ADV	23	advmod
19	Auto	PROPN	20	compound
20	Towing	PROPN	23	nsubj
21	is	AUX	23	cop
22	the	DET	23	det
23	company	NOUN	0	root
24	for	ADP	25	case
25	you	PRON	23	nmod
26	.	PUNCT	23	punct