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:
Gallop, I've already read that whole site and been reading through research articles from the research colleges as well.
Postion	Tokenization
1	Gallop
2	,
3	I've
4	I
5	've
6	already
7	read
8	that
9	whole
10	site
11	and
12	been
13	reading
14	through
15	research
16	articles
17	from
18	the
19	research
20	colleges
21	as
22	well
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Gallop	PROPN	6	vocative
2	,	PUNCT	6	punct
3	I've	_	None	_
4	I	PRON	6	nsubj
5	've	AUX	6	aux
6	already	ADV	6	advmod
7	read	VERB	0	root
8	that	DET	9	det
9	whole	ADJ	9	amod
10	site	NOUN	6	obj
11	and	CCONJ	12	cc
12	been	AUX	12	aux
13	reading	VERB	6	conj
14	through	ADP	15	case
15	research	NOUN	15	compound
16	articles	NOUN	12	obl
17	from	ADP	19	case
18	the	DET	19	det
19	research	NOUN	19	compound
20	colleges	NOUN	15	nmod
21	as	ADV	12	advmod
22	well	ADV	20	fixed
23	.	PUNCT	6	punct