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:
And while doing so continue using the Baba Nam Kevalam mantra (breathe in with Baba Nam, breathe out with Kevalam).
Postion	Tokenization
1	And
2	while
3	doing
4	so
5	continue
6	using
7	the
8	Baba
9	Nam
10	Kevalam
11	mantra
12	(
13	breathe
14	in
15	with
16	Baba
17	Nam
18	,
19	breathe
20	out
21	with
22	Kevalam
23	)
24	.
Position	Tokenization	UPOS	Head	Deprel
1	And	CCONJ	5	cc
2	while	SCONJ	3	mark
3	doing	VERB	5	advcl
4	so	ADV	3	advmod
5	continue	VERB	0	root
6	using	VERB	5	xcomp
7	the	DET	11	det
8	Baba	NOUN	10	compound
9	Nam	NOUN	10	compound
10	Kevalam	NOUN	11	compound
11	mantra	NOUN	6	obj
12	(	PUNCT	13	punct
13	breathe	VERB	5	parataxis
14	in	ADV	13	advmod
15	with	ADP	16	case
16	Baba	NOUN	13	obl
17	Nam	NOUN	16	flat
18	,	PUNCT	19	punct
19	breathe	VERB	13	conj
20	out	ADV	19	advmod
21	with	ADP	22	case
22	Kevalam	NOUN	19	obl
23	)	PUNCT	13	punct
24	.	PUNCT	5	punct