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 have written a lot recently about healing the self so today here are a few words on healing our collective body, mind and soul.
Postion	Tokenization
1	I
2	have
3	written
4	a
5	lot
6	recently
7	about
8	healing
9	the
10	self
11	so
12	today
13	here
14	are
15	a
16	few
17	words
18	on
19	healing
20	our
21	collective
22	body
23	,
24	mind
25	and
26	soul
27	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	have	AUX	3	aux
3	written	VERB	0	root
4	a	DET	5	det
5	lot	NOUN	3	obj
6	recently	ADV	3	advmod
7	about	SCONJ	8	mark
8	healing	VERB	3	advcl
9	the	DET	10	det
10	self	NOUN	8	obj
11	so	ADV	13	advmod
12	today	NOUN	13	obl:tmod
13	here	ADV	3	conj
14	are	AUX	13	cop
15	a	DET	17	det
16	few	ADJ	17	amod
17	words	NOUN	13	nsubj
18	on	SCONJ	19	mark
19	healing	VERB	17	acl
20	our	PRON	22	nmod:poss
21	collective	ADJ	22	amod
22	body	NOUN	19	obj
23	,	PUNCT	24	punct
24	mind	NOUN	22	conj
25	and	CCONJ	26	cc
26	soul	NOUN	22	conj
27	.	PUNCT	3	punct