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:
Since then, I now use a professional horse hauling service with people who ride with my horse to keep an eye on him, stop every few hours for water, and their trailers all have super smooth suspension.
Postion	Tokenization
1	Since
2	then
3	,
4	I
5	now
6	use
7	a
8	professional
9	horse
10	hauling
11	service
12	with
13	people
14	who
15	ride
16	with
17	my
18	horse
19	to
20	keep
21	an
22	eye
23	on
24	him
25	,
26	stop
27	every
28	few
29	hours
30	for
31	water
32	,
33	and
34	their
35	trailers
36	all
37	have
38	super
39	smooth
40	suspension
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Since	ADP	2	case
2	then	ADV	6	obl
3	,	PUNCT	6	punct
4	I	PRON	6	nsubj
5	now	ADV	6	advmod
6	use	VERB	0	root
7	a	DET	11	det
8	professional	ADJ	11	amod
9	horse	NOUN	10	compound
10	hauling	NOUN	11	compound
11	service	NOUN	6	obj
12	with	ADP	13	case
13	people	NOUN	11	nmod
14	who	PRON	15	nsubj
15	ride	VERB	13	acl:relcl
16	with	ADP	18	case
17	my	PRON	18	nmod:poss
18	horse	NOUN	15	obl
19	to	PART	20	mark
20	keep	VERB	15	advcl
21	an	DET	22	det
22	eye	NOUN	20	obj
23	on	ADP	24	case
24	him	PRON	20	obl
25	,	PUNCT	15	punct
26	stop	VERB	20	conj
27	every	DET	29	det
28	few	ADJ	29	amod
29	hours	NOUN	26	obl:tmod
30	for	ADP	31	case
31	water	NOUN	26	obl
32	,	PUNCT	37	punct
33	and	CCONJ	37	cc
34	their	PRON	35	nmod:poss
35	trailers	NOUN	37	nsubj
36	all	ADV	35	advmod
37	have	VERB	6	conj
38	super	ADV	39	advmod
39	smooth	ADJ	40	amod
40	suspension	NOUN	37	obj
41	.	PUNCT	6	punct