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:
My perspective is entirely based on what I see, on what I read and on the fact that my family has lived in this region for almost 200 years.
Postion	Tokenization
1	My
2	perspective
3	is
4	entirely
5	based
6	on
7	what
8	I
9	see
10	,
11	on
12	what
13	I
14	read
15	and
16	on
17	the
18	fact
19	that
20	my
21	family
22	has
23	lived
24	in
25	this
26	region
27	for
28	almost
29	200
30	years
31	.
Position	Tokenization	UPOS	Head	Deprel
1	My	PRON	2	nmod:poss
2	perspective	NOUN	5	nsubj:pass
3	is	AUX	5	aux:pass
4	entirely	ADV	5	advmod
5	based	VERB	0	root
6	on	SCONJ	9	mark
7	what	PRON	9	obj
8	I	PRON	9	nsubj
9	see	VERB	5	advcl
10	,	PUNCT	14	punct
11	on	SCONJ	14	mark
12	what	PRON	14	obj
13	I	PRON	14	nsubj
14	read	VERB	9	conj
15	and	CCONJ	18	cc
16	on	ADP	18	case
17	the	DET	18	det
18	fact	NOUN	9	conj
19	that	SCONJ	23	mark
20	my	PRON	21	nmod:poss
21	family	NOUN	23	nsubj
22	has	AUX	23	aux
23	lived	VERB	18	acl
24	in	ADP	26	case
25	this	DET	26	det
26	region	NOUN	23	obl
27	for	ADP	30	case
28	almost	ADV	29	advmod
29	200	NUM	30	nummod
30	years	NOUN	23	obl
31	.	PUNCT	5	punct