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:
As we are living in an age where intellectual capital is so valuable, it is important for every young person to obtain the very best possible education they can.
Postion	Tokenization
1	As
2	we
3	are
4	living
5	in
6	an
7	age
8	where
9	intellectual
10	capital
11	is
12	so
13	valuable
14	,
15	it
16	is
17	important
18	for
19	every
20	young
21	person
22	to
23	obtain
24	the
25	very
26	best
27	possible
28	education
29	they
30	can
31	.
Position	Tokenization	UPOS	Head	Deprel
1	As	SCONJ	4	mark
2	we	PRON	4	nsubj
3	are	AUX	4	aux
4	living	VERB	17	advcl
5	in	ADP	7	case
6	an	DET	7	det
7	age	NOUN	4	obl
8	where	SCONJ	13	mark
9	intellectual	ADJ	10	amod
10	capital	NOUN	13	nsubj
11	is	AUX	13	cop
12	so	ADV	13	advmod
13	valuable	ADJ	7	acl:relcl
14	,	PUNCT	17	punct
15	it	PRON	17	expl
16	is	AUX	17	cop
17	important	ADJ	0	root
18	for	SCONJ	23	mark
19	every	DET	21	det
20	young	ADJ	21	amod
21	person	NOUN	23	nsubj
22	to	PART	23	mark
23	obtain	VERB	17	csubj
24	the	DET	28	det
25	very	ADV	26	advmod
26	best	ADJ	28	amod
27	possible	ADJ	28	amod
28	education	NOUN	23	obj
29	they	PRON	30	nsubj
30	can	AUX	28	acl:relcl
31	.	PUNCT	17	punct