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:
La misión también habló con la secretaria de la Liga Nacional para la Democracia, Aung San Suu Kyi, quien insistió en "la gravedad persistente del trabajo forzoso, en particular debido a su uso por militares y sobre las formas extremas que podía adoptar con el reclutamiento de niños".
Postion	Tokenization
1	La
2	misión
3	también
4	habló
5	con
6	la
7	secretaria
8	de
9	la
10	Liga
11	Nacional
12	para
13	la
14	Democracia
15	,
16	Aung
17	San
18	Suu
19	Kyi
20	,
21	quien
22	insistió
23	en
24	"
25	la
26	gravedad
27	persistente
28	del
29	trabajo
30	forzoso
31	,
32	en
33	particular
34	debido
35	a
36	su
37	uso
38	por
39	militares
40	y
41	sobre
42	las
43	formas
44	extremas
45	que
46	podía
47	adoptar
48	con
49	el
50	reclutamiento
51	de
52	niños
53	"
54	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	misión	NOUN	4	nsubj
3	también	ADV	4	advmod
4	habló	VERB	0	root
5	con	ADP	7	case
6	la	DET	7	det
7	secretaria	NOUN	4	obl
8	de	ADP	10	case
9	la	DET	10	det
10	Liga	PROPN	7	nmod
11	Nacional	PROPN	10	flat
12	para	ADP	14	case
13	la	DET	14	det
14	Democracia	PROPN	10	flat
15	,	PUNCT	16	punct
16	Aung	PROPN	7	appos
17	San	PROPN	16	flat
18	Suu	PROPN	16	flat
19	Kyi	PROPN	16	flat
20	,	PUNCT	16	punct
21	quien	PRON	22	nsubj
22	insistió	VERB	7	acl
23	en	ADP	26	case
24	"	PUNCT	26	punct
25	la	DET	26	det
26	gravedad	NOUN	22	obj
27	persistente	ADJ	26	amod
28	del	ADP	29	case
29	trabajo	NOUN	26	nmod
30	forzoso	ADJ	29	amod
31	,	PUNCT	32	punct
32	en	ADP	26	advmod
33	particular	NOUN	32	fixed
34	debido	ADJ	32	case
35	a	ADP	34	fixed
36	su	DET	37	det
37	uso	NOUN	32	nmod
38	por	ADP	39	case
39	militares	NOUN	37	nmod
40	y	CCONJ	43	cc
41	sobre	ADP	43	case
42	las	DET	43	det
43	formas	NOUN	32	conj
44	extremas	ADJ	43	amod
45	que	PRON	47	obj
46	podía	AUX	47	aux
47	adoptar	VERB	43	acl
48	con	ADP	50	case
49	el	DET	50	det
50	reclutamiento	NOUN	47	obl
51	de	ADP	52	case
52	niños	NOUN	50	nmod
53	"	PUNCT	26	punct
54	.	PUNCT	4	punct