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 avión de Barak, procedente de Israel, aterrizó a las 8.15 hora local (07.15 gmt), en la base aérea de Figo Maduro, anexa al aeropuerto internacional de Lisboa.
Postion	Tokenization
1	El
2	avión
3	de
4	Barak
5	,
6	procedente
7	de
8	Israel
9	,
10	aterrizó
11	a
12	las
13	8.15
14	hora
15	local
16	(
17	07.15
18	gmt
19	)
20	,
21	en
22	la
23	base
24	aérea
25	de
26	Figo
27	Maduro
28	,
29	anexa
30	al
31	aeropuerto
32	internacional
33	de
34	Lisboa
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	avión	NOUN	10	nsubj
3	de	ADP	4	case
4	Barak	PROPN	2	nmod
5	,	PUNCT	6	punct
6	procedente	ADJ	2	amod
7	de	ADP	8	case
8	Israel	PROPN	6	nmod
9	,	PUNCT	6	punct
10	aterrizó	VERB	0	root
11	a	ADP	13	case
12	las	DET	13	det
13	8.15	NUM	10	obl
14	hora	NOUN	13	appos
15	local	ADJ	14	amod
16	(	PUNCT	18	punct
17	07.15	NUM	18	nummod
18	gmt	NOUN	14	appos
19	)	PUNCT	18	punct
20	,	PUNCT	23	punct
21	en	ADP	23	case
22	la	DET	23	det
23	base	NOUN	10	obl
24	aérea	ADJ	23	amod
25	de	ADP	26	case
26	Figo	PROPN	23	nmod
27	Maduro	PROPN	26	flat
28	,	PUNCT	29	punct
29	anexa	ADJ	23	amod
30	al	ADP	31	case
31	aeropuerto	NOUN	29	nmod
32	internacional	ADJ	31	amod
33	de	ADP	34	case
34	Lisboa	PROPN	31	nmod
35	.	PUNCT	10	punct