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:
Hartpury College (I think that is the name, but if you type it in it should come up with an alternative suggestion), in Gloucestershire.
Postion	Tokenization
1	Hartpury
2	College
3	(
4	I
5	think
6	that
7	is
8	the
9	name
10	,
11	but
12	if
13	you
14	type
15	it
16	in
17	it
18	should
19	come
20	up
21	with
22	an
23	alternative
24	suggestion
25	)
26	,
27	in
28	Gloucestershire
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Hartpury	PROPN	2	compound
2	College	PROPN	0	root
3	(	PUNCT	5	punct
4	I	PRON	5	nsubj
5	think	VERB	2	parataxis
6	that	PRON	9	nsubj
7	is	AUX	9	cop
8	the	DET	9	det
9	name	NOUN	5	ccomp
10	,	PUNCT	19	punct
11	but	CCONJ	19	cc
12	if	SCONJ	14	mark
13	you	PRON	14	nsubj
14	type	VERB	19	advcl
15	it	PRON	14	obj
16	in	ADV	14	advmod
17	it	PRON	19	nsubj
18	should	AUX	19	aux
19	come	VERB	5	conj
20	up	ADV	19	advmod
21	with	ADP	24	case
22	an	DET	24	det
23	alternative	ADJ	24	amod
24	suggestion	NOUN	19	obl
25	)	PUNCT	5	punct
26	,	PUNCT	2	punct
27	in	ADP	28	case
28	Gloucestershire	PROPN	2	nmod
29	.	PUNCT	2	punct