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:
I guess they figured me for an easy mark, and tried to explain that my car wouldn't pass unless I replaced a hose.
Postion	Tokenization
1	I
2	guess
3	they
4	figured
5	me
6	for
7	an
8	easy
9	mark
10	,
11	and
12	tried
13	to
14	explain
15	that
16	my
17	car
18	wouldn't
19	would
20	n't
21	pass
22	unless
23	I
24	replaced
25	a
26	hose
27	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	guess	VERB	0	root
3	they	PRON	4	nsubj
4	figured	VERB	2	ccomp
5	me	PRON	4	obj
6	for	ADP	9	case
7	an	DET	9	det
8	easy	ADJ	9	amod
9	mark	NOUN	4	obl
10	,	PUNCT	12	punct
11	and	CCONJ	12	cc
12	tried	VERB	4	conj
13	to	PART	14	mark
14	explain	VERB	12	xcomp
15	that	SCONJ	20	mark
16	my	PRON	17	nmod:poss
17	car	NOUN	20	nsubj
18	wouldn't	_	None	_
19	would	AUX	20	aux
20	n't	PART	20	advmod
21	pass	VERB	14	ccomp
22	unless	SCONJ	23	mark
23	I	PRON	23	nsubj
24	replaced	VERB	20	advcl
25	a	DET	25	det
26	hose	NOUN	23	obj
27	.	PUNCT	2	punct