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:
He's only exhibited weight loss and some muscle atrophy, with the slight toe drag and a bit of trouble with the right lead (which could or couldn't be related).
Postion	Tokenization
1	He's
2	He
3	's
4	only
5	exhibited
6	weight
7	loss
8	and
9	some
10	muscle
11	atrophy
12	,
13	with
14	the
15	slight
16	toe
17	drag
18	and
19	a
20	bit
21	of
22	trouble
23	with
24	the
25	right
26	lead
27	(
28	which
29	could
30	or
31	couldn't
32	could
33	n't
34	be
35	related
36	)
37	.
Position	Tokenization	UPOS	Head	Deprel
1	He's	_	None	_
2	He	PRON	4	nsubj
3	's	AUX	4	aux
4	only	ADV	4	advmod
5	exhibited	VERB	0	root
6	weight	NOUN	6	compound
7	loss	NOUN	4	obj
8	and	CCONJ	10	cc
9	some	DET	10	det
10	muscle	NOUN	10	compound
11	atrophy	NOUN	6	conj
12	,	PUNCT	4	punct
13	with	ADP	16	case
14	the	DET	16	det
15	slight	ADJ	16	amod
16	toe	NOUN	16	compound
17	drag	NOUN	4	obl
18	and	CCONJ	19	cc
19	a	DET	19	det
20	bit	NOUN	16	conj
21	of	ADP	21	case
22	trouble	NOUN	19	nmod
23	with	ADP	25	case
24	the	DET	25	det
25	right	ADJ	25	amod
26	lead	NOUN	21	nmod
27	(	PUNCT	19	punct
28	which	PRON	28	nsubj
29	could	AUX	19	acl:relcl
30	or	CCONJ	33	cc
31	couldn't	_	None	_
32	could	AUX	33	aux
33	n't	PART	33	advmod
34	be	AUX	33	cop
35	related	VERB	28	conj
36	)	PUNCT	19	punct
37	.	PUNCT	4	punct