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:
Feel the meaning, don't just think of its wordy meaning or try to translate from Sanskrit (BABA NAM KEVALAM) to an English meaning (Infinite peace and happiness).
Postion	Tokenization
1	Feel
2	the
3	meaning
4	,
5	don't
6	do
7	n't
8	just
9	think
10	of
11	its
12	wordy
13	meaning
14	or
15	try
16	to
17	translate
18	from
19	Sanskrit
20	(
21	BABA
22	NAM
23	KEVALAM
24	)
25	to
26	an
27	English
28	meaning
29	(
30	Infinite
31	peace
32	and
33	happiness
34	)
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Feel	VERB	0	root
2	the	DET	3	det
3	meaning	NOUN	1	obj
4	,	PUNCT	1	punct
5	don't	_	None	_
6	do	AUX	8	aux
7	n't	PART	8	advmod
8	just	ADV	8	advmod
9	think	VERB	1	parataxis
10	of	ADP	12	case
11	its	PRON	12	nmod:poss
12	wordy	ADJ	12	amod
13	meaning	NOUN	8	obl
14	or	CCONJ	14	cc
15	try	VERB	8	conj
16	to	PART	16	mark
17	translate	VERB	14	xcomp
18	from	ADP	18	case
19	Sanskrit	PROPN	16	obl
20	(	PUNCT	22	punct
21	BABA	NOUN	22	compound
22	NAM	NOUN	22	compound
23	KEVALAM	NOUN	18	parataxis
24	)	PUNCT	22	punct
25	to	ADP	27	case
26	an	DET	27	det
27	English	ADJ	27	amod
28	meaning	NOUN	16	obl
29	(	PUNCT	30	punct
30	Infinite	ADJ	30	amod
31	peace	NOUN	27	appos
32	and	CCONJ	32	cc
33	happiness	NOUN	30	conj
34	)	PUNCT	32	punct
35	.	PUNCT	1	punct