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 is now losing the cheek muscle on the left side of his face and seems to be dropping weight by the day.
Postion	Tokenization
1	He
2	is
3	now
4	losing
5	the
6	cheek
7	muscle
8	on
9	the
10	left
11	side
12	of
13	his
14	face
15	and
16	seems
17	to
18	be
19	dropping
20	weight
21	by
22	the
23	day
24	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	4	nsubj
2	is	AUX	4	aux
3	now	ADV	4	advmod
4	losing	VERB	0	root
5	the	DET	7	det
6	cheek	NOUN	7	compound
7	muscle	NOUN	4	obj
8	on	ADP	11	case
9	the	DET	11	det
10	left	ADJ	11	amod
11	side	NOUN	4	obl
12	of	ADP	14	case
13	his	PRON	14	nmod:poss
14	face	NOUN	11	nmod
15	and	CCONJ	16	cc
16	seems	VERB	4	conj
17	to	PART	19	mark
18	be	AUX	19	aux
19	dropping	VERB	16	xcomp
20	weight	NOUN	19	obj
21	by	ADP	23	case
22	the	DET	23	det
23	day	NOUN	19	obl
24	.	PUNCT	4	punct