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:
You'll be among the first to seize upon new societal trends to create new opportunities for yourself, as your creativity will be at an all-time high.
Postion	Tokenization
1	You'll
2	You
3	'll
4	be
5	among
6	the
7	first
8	to
9	seize
10	upon
11	new
12	societal
13	trends
14	to
15	create
16	new
17	opportunities
18	for
19	yourself
20	,
21	as
22	your
23	creativity
24	will
25	be
26	at
27	an
28	all
29	-
30	time
31	high
32	.
Position	Tokenization	UPOS	Head	Deprel
1	You'll	_	None	_
2	You	PRON	3	nsubj
3	'll	AUX	3	aux
4	be	VERB	0	root
5	among	ADP	6	case
6	the	DET	6	det
7	first	ADJ	3	obl
8	to	PART	8	mark
9	seize	VERB	6	advcl
10	upon	ADP	12	case
11	new	ADJ	12	amod
12	societal	ADJ	12	amod
13	trends	NOUN	8	obl
14	to	PART	14	mark
15	create	VERB	8	advcl
16	new	ADJ	16	amod
17	opportunities	NOUN	14	obj
18	for	ADP	18	case
19	yourself	PRON	16	nmod
20	,	PUNCT	3	punct
21	as	SCONJ	30	mark
22	your	PRON	22	nmod:poss
23	creativity	NOUN	30	nsubj
24	will	AUX	30	aux
25	be	AUX	30	cop
26	at	ADP	30	case
27	an	DET	30	det
28	all	DET	29	det
29	-	PUNCT	29	punct
30	time	NOUN	30	compound
31	high	NOUN	3	advcl
32	.	PUNCT	3	punct