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:
Full name of the father is: "Nguyen Thanh Luan" ===> Full name of the son/daughter certainly is " Nguyen..........", for instance, "Nguyen Thi Thuy Lan".
Postion	Tokenization
1	Full
2	name
3	of
4	the
5	father
6	is
7	:
8	"
9	Nguyen
10	Thanh
11	Luan
12	"
13	===>
14	Full
15	name
16	of
17	the
18	son
19	/
20	daughter
21	certainly
22	is
23	"
24	Nguyen
25	..........
26	"
27	,
28	for
29	instance
30	,
31	"
32	Nguyen
33	Thi
34	Thuy
35	Lan
36	"
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Full	ADJ	2	amod
2	name	NOUN	9	nsubj
3	of	ADP	5	case
4	the	DET	5	det
5	father	NOUN	2	nmod
6	is	AUX	9	cop
7	:	PUNCT	9	punct
8	"	PUNCT	9	punct
9	Nguyen	PROPN	0	root
10	Thanh	PROPN	9	flat
11	Luan	PROPN	9	flat
12	"	PUNCT	9	punct
13	===>	SYM	9	punct
14	Full	ADJ	15	amod
15	name	NOUN	24	nsubj
16	of	ADP	18	case
17	the	DET	20	det
18	son	NOUN	15	nmod
19	/	PUNCT	20	cc
20	daughter	NOUN	18	conj
21	certainly	ADV	24	advmod
22	is	AUX	24	cop
23	"	PUNCT	24	punct
24	Nguyen	PROPN	9	parataxis
25	..........	PUNCT	24	punct
26	"	PUNCT	24	punct
27	,	PUNCT	24	punct
28	for	ADP	29	case
29	instance	NOUN	32	nmod
30	,	PUNCT	32	punct
31	"	PUNCT	32	punct
32	Nguyen	PROPN	24	appos
33	Thi	PROPN	32	flat
34	Thuy	PROPN	32	flat
35	Lan	PROPN	32	flat
36	"	PUNCT	32	punct
37	.	PUNCT	9	punct