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:
You may also starve it by preventing new blood from reaching it from other parts of the body, thereby preventing new "supplies" from expanding the tumor.
Postion	Tokenization
1	You
2	may
3	also
4	starve
5	it
6	by
7	preventing
8	new
9	blood
10	from
11	reaching
12	it
13	from
14	other
15	parts
16	of
17	the
18	body
19	,
20	thereby
21	preventing
22	new
23	"
24	supplies
25	"
26	from
27	expanding
28	the
29	tumor
30	.
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	4	nsubj
2	may	AUX	4	aux
3	also	ADV	4	advmod
4	starve	VERB	0	root
5	it	PRON	4	obj
6	by	SCONJ	7	mark
7	preventing	VERB	4	advcl
8	new	ADJ	9	amod
9	blood	NOUN	7	obj
10	from	SCONJ	11	mark
11	reaching	VERB	7	advcl
12	it	PRON	11	obj
13	from	ADP	15	case
14	other	ADJ	15	amod
15	parts	NOUN	11	obl
16	of	ADP	18	case
17	the	DET	18	det
18	body	NOUN	15	nmod
19	,	PUNCT	7	punct
20	thereby	ADV	21	advmod
21	preventing	VERB	7	advcl
22	new	ADJ	24	amod
23	"	PUNCT	24	punct
24	supplies	NOUN	21	obj
25	"	PUNCT	24	punct
26	from	SCONJ	27	mark
27	expanding	VERB	21	advcl
28	the	DET	29	det
29	tumor	NOUN	27	obj
30	.	PUNCT	4	punct