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:
After founders - Stanford graduate students Sergey Brin and Larry Page presented their project to an angel investor, they received a cheque made out to 'Google'
Postion	Tokenization
1	After
2	founders
3	-
4	Stanford
5	graduate
6	students
7	Sergey
8	Brin
9	and
10	Larry
11	Page
12	presented
13	their
14	project
15	to
16	an
17	angel
18	investor
19	,
20	they
21	received
22	a
23	cheque
24	made
25	out
26	to
27	'
28	Google
29	'
Position	Tokenization	UPOS	Head	Deprel
1	After	SCONJ	12	mark
2	founders	NOUN	7	compound
3	-	PUNCT	7	punct
4	Stanford	PROPN	6	compound
5	graduate	NOUN	6	compound
6	students	NOUN	7	compound
7	Sergey	PROPN	12	nsubj
8	Brin	PROPN	7	flat
9	and	CCONJ	10	cc
10	Larry	PROPN	7	conj
11	Page	PROPN	10	flat
12	presented	VERB	21	advcl
13	their	PRON	14	nmod:poss
14	project	NOUN	12	obj
15	to	ADP	18	case
16	an	DET	18	det
17	angel	NOUN	18	compound
18	investor	NOUN	12	obl
19	,	PUNCT	21	punct
20	they	PRON	21	nsubj
21	received	VERB	0	root
22	a	DET	23	det
23	cheque	NOUN	21	obj
24	made	VERB	23	acl
25	out	ADP	24	compound:prt
26	to	ADP	28	case
27	'	PUNCT	28	punct
28	Google	PROPN	24	obl
29	'	PUNCT	28	punct