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:
El más grave y reciente ocurrió en 1976, cuando un avión de la aerolínea se estrelló durante la maniobra de aterrizaje en el aeropuerto de Bangkok (Tailandia) y fallecieron 72 personas.
Postion	Tokenization
1	El
2	más
3	grave
4	y
5	reciente
6	ocurrió
7	en
8	1976
9	,
10	cuando
11	un
12	avión
13	de
14	la
15	aerolínea
16	se
17	estrelló
18	durante
19	la
20	maniobra
21	de
22	aterrizaje
23	en
24	el
25	aeropuerto
26	de
27	Bangkok
28	(
29	Tailandia
30	)
31	y
32	fallecieron
33	72
34	personas
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	más	ADV	3	advmod
3	grave	ADJ	6	nsubj
4	y	CCONJ	5	cc
5	reciente	ADJ	3	conj
6	ocurrió	VERB	0	root
7	en	ADP	8	case
8	1976	NOUN	6	obl
9	,	PUNCT	17	punct
10	cuando	PRON	17	obl
11	un	DET	12	det
12	avión	NOUN	17	nsubj
13	de	ADP	15	case
14	la	DET	15	det
15	aerolínea	NOUN	12	nmod
16	se	PRON	17	expl:pv
17	estrelló	VERB	8	acl
18	durante	ADP	20	case
19	la	DET	20	det
20	maniobra	NOUN	17	obl
21	de	ADP	22	case
22	aterrizaje	NOUN	20	nmod
23	en	ADP	25	case
24	el	DET	25	det
25	aeropuerto	NOUN	17	obl
26	de	ADP	27	case
27	Bangkok	PROPN	25	nmod
28	(	PUNCT	29	punct
29	Tailandia	PROPN	27	flat
30	)	PUNCT	29	punct
31	y	CCONJ	32	cc
32	fallecieron	VERB	17	conj
33	72	NUM	34	nummod
34	personas	NOUN	32	nsubj
35	.	PUNCT	6	punct