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:
Yet, this is no comparison to the advancements you'll make overall, and by the end of 2005, you'll look back in sheer wonder and happiness.
Postion	Tokenization
1	Yet
2	,
3	this
4	is
5	no
6	comparison
7	to
8	the
9	advancements
10	you'll
11	you
12	'll
13	make
14	overall
15	,
16	and
17	by
18	the
19	end
20	of
21	2005
22	,
23	you'll
24	you
25	'll
26	look
27	back
28	in
29	sheer
30	wonder
31	and
32	happiness
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Yet	CCONJ	24	cc
2	,	PUNCT	6	punct
3	this	PRON	6	nsubj
4	is	AUX	6	cop
5	no	DET	6	det
6	comparison	NOUN	0	root
7	to	ADP	9	case
8	the	DET	9	det
9	advancements	NOUN	6	nmod
10	you'll	_	None	_
11	you	PRON	12	nsubj
12	'll	AUX	12	aux
13	make	VERB	9	acl:relcl
14	overall	ADV	12	advmod
15	,	PUNCT	24	punct
16	and	CCONJ	24	cc
17	by	ADP	18	case
18	the	DET	18	det
19	end	NOUN	24	obl
20	of	ADP	20	case
21	2005	NUM	18	nmod
22	,	PUNCT	24	punct
23	you'll	_	None	_
24	you	PRON	24	nsubj
25	'll	AUX	24	aux
26	look	VERB	6	conj
27	back	ADV	24	advmod
28	in	ADP	28	case
29	sheer	ADJ	28	amod
30	wonder	NOUN	24	obl
31	and	CCONJ	30	cc
32	happiness	NOUN	28	conj
33	.	PUNCT	6	punct