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:
This type of harness goes around the dogs chest and legs and has a clip for the leash up on the back of the dog in middle of shoulder blades.
Postion	Tokenization
1	This
2	type
3	of
4	harness
5	goes
6	around
7	the
8	dogs
9	dog
10	s
11	chest
12	and
13	legs
14	and
15	has
16	a
17	clip
18	for
19	the
20	leash
21	up
22	on
23	the
24	back
25	of
26	the
27	dog
28	in
29	middle
30	of
31	shoulder
32	blades
33	.
Position	Tokenization	UPOS	Head	Deprel
1	This	DET	2	det
2	type	NOUN	5	nsubj
3	of	ADP	4	case
4	harness	NOUN	2	nmod
5	goes	VERB	0	root
6	around	ADP	10	case
7	the	DET	8	det
8	dogs	_	None	_
9	dog	NOUN	10	nmod:poss
10	s	PART	8	case
11	chest	NOUN	5	obl
12	and	CCONJ	12	cc
13	legs	NOUN	10	conj
14	and	CCONJ	14	cc
15	has	VERB	5	conj
16	a	DET	16	det
17	clip	NOUN	14	obj
18	for	ADP	19	case
19	the	DET	19	det
20	leash	NOUN	16	nmod
21	up	ADV	16	advmod
22	on	ADP	23	case
23	the	DET	23	det
24	back	NOUN	20	obl
25	of	ADP	26	case
26	the	DET	26	det
27	dog	NOUN	23	nmod
28	in	ADP	28	case
29	middle	NOUN	16	nmod
30	of	ADP	31	case
31	shoulder	NOUN	31	compound
32	blades	NOUN	28	nmod
33	.	PUNCT	5	punct