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 one guy who was there, I'm guessing was the owner, was probably the least helpful person I've ever met.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	one	NUM	3	nummod
3	guy	NOUN	20	nsubj
4	who	PRON	6	nsubj
5	was	AUX	6	cop
6	there	ADV	3	acl:relcl
7	,	PUNCT	10	punct
8	I'm	_	None	_
9	I	PRON	10	nsubj
10	'm	AUX	10	aux
11	guessing	VERB	3	appos
12	was	AUX	13	cop
13	the	DET	13	det
14	owner	NOUN	10	ccomp
15	,	PUNCT	10	punct
16	was	AUX	20	cop
17	probably	ADV	20	advmod
18	the	DET	20	det
19	least	ADV	19	advmod
20	helpful	ADJ	20	amod
21	person	NOUN	0	root
22	I've	_	None	_
23	I	PRON	24	nsubj
24	've	AUX	24	aux
25	ever	ADV	24	advmod
26	met	VERB	20	acl:relcl
27	.	PUNCT	20	punct