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 text: The statement about "best hamburguers in town" can be even amplifiaed to "best hamburguers in world" Totally worth, juicy, big, fresh, and excellent customer service!
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	statement	NOUN	13	nsubj:pass
3	about	ADP	6	case
4	"	PUNCT	6	punct
5	best	ADJ	6	amod
6	hamburguers	NOUN	2	nmod
7	in	ADP	8	case
8	town	NOUN	6	nmod
9	"	PUNCT	6	punct
10	can	AUX	13	aux
11	be	AUX	13	aux:pass
12	even	ADV	13	advmod
13	amplifiaed	VERB	0	root
14	to	ADP	17	case
15	"	PUNCT	17	punct
16	best	ADJ	17	amod
17	hamburguers	NOUN	13	obl
18	in	ADP	19	case
19	world	NOUN	17	nmod
20	"	PUNCT	17	punct
21	Totally	ADV	22	advmod
22	worth	ADJ	13	parataxis
23	,	PUNCT	24	punct
24	juicy	ADJ	22	conj
25	,	PUNCT	26	punct
26	big	ADJ	22	conj
27	,	PUNCT	28	punct
28	fresh	ADJ	22	conj
29	,	PUNCT	33	punct
30	and	CCONJ	33	cc
31	excellent	ADJ	33	amod
32	customer	NOUN	33	compound
33	service	NOUN	22	conj
34	!	PUNCT	22	punct