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:
But if the babies were born in American so they would named in other way but still remain "First name" in order to recall about their origination.
Postion	Tokenization
1	But
2	if
3	the
4	babies
5	were
6	born
7	in
8	American
9	so
10	they
11	would
12	named
13	in
14	other
15	way
16	but
17	still
18	remain
19	"
20	First
21	name
22	"
23	in
24	order
25	to
26	recall
27	about
28	their
29	origination
30	.
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	18	cc
2	if	SCONJ	6	mark
3	the	DET	4	det
4	babies	NOUN	6	nsubj:pass
5	were	AUX	6	aux:pass
6	born	VERB	12	advcl
7	in	ADP	8	case
8	American	ADJ	6	obl
9	so	ADV	12	advmod
10	they	PRON	12	nsubj:pass
11	would	AUX	12	aux:pass
12	named	VERB	0	root
13	in	ADP	15	case
14	other	ADJ	15	amod
15	way	NOUN	12	obl
16	but	CCONJ	18	cc
17	still	ADV	18	advmod
18	remain	VERB	12	conj
19	"	PUNCT	21	punct
20	First	NOUN	21	compound
21	name	NOUN	18	xcomp
22	"	PUNCT	21	punct
23	in	ADP	26	mark
24	order	NOUN	23	fixed
25	to	PART	26	mark
26	recall	VERB	18	advcl
27	about	ADP	29	case
28	their	PRON	29	nmod:poss
29	origination	NOUN	26	obl
30	.	PUNCT	12	punct