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:
Las autoridades calculan que las consecuencias durarán unas semanas más, hasta que se pueda determinar qué aviones están en condiciones de volver a volar.
Postion	Tokenization
1	Las
2	autoridades
3	calculan
4	que
5	las
6	consecuencias
7	durarán
8	unas
9	semanas
10	más
11	,
12	hasta
13	que
14	se
15	pueda
16	determinar
17	qué
18	aviones
19	están
20	en
21	condiciones
22	de
23	volver
24	a
25	volar
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	autoridades	NOUN	3	nsubj
3	calculan	VERB	0	root
4	que	SCONJ	7	mark
5	las	DET	6	det
6	consecuencias	NOUN	7	nsubj
7	durarán	VERB	3	ccomp
8	unas	DET	9	det
9	semanas	NOUN	7	obj
10	más	ADV	9	advmod
11	,	PUNCT	16	punct
12	hasta	ADP	16	mark
13	que	SCONJ	16	mark
14	se	PRON	16	expl:pass
15	pueda	AUX	16	aux
16	determinar	VERB	7	advcl
17	qué	DET	18	det
18	aviones	NOUN	21	nsubj
19	están	AUX	21	cop
20	en	ADP	21	case
21	condiciones	NOUN	16	csubj
22	de	ADP	23	mark
23	volver	VERB	21	acl
24	a	ADP	25	mark
25	volar	VERB	23	xcomp
26	.	PUNCT	3	punct