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:
"Nos hemos tenido que levantar a las cuatro de la mañana para nada", lamentaba agotado a mediodía Joel, tras haber dormido en asientos y lavabos del aeropuerto.
Postion	Tokenization
1	"
2	Nos
3	hemos
4	tenido
5	que
6	levantar
7	a
8	las
9	cuatro
10	de
11	la
12	mañana
13	para
14	nada
15	"
16	,
17	lamentaba
18	agotado
19	a
20	mediodía
21	Joel
22	,
23	tras
24	haber
25	dormido
26	en
27	asientos
28	y
29	lavabos
30	del
31	aeropuerto
32	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Nos	PRON	6	expl:pv
3	hemos	AUX	6	aux
4	tenido	VERB	17	ccomp
5	que	SCONJ	6	cc
6	levantar	VERB	4	conj
7	a	ADP	9	case
8	las	DET	9	det
9	cuatro	NUM	6	obl
10	de	ADP	12	case
11	la	DET	12	det
12	mañana	NOUN	9	nmod
13	para	ADP	14	case
14	nada	PRON	6	obl
15	"	PUNCT	4	punct
16	,	PUNCT	4	punct
17	lamentaba	VERB	0	root
18	agotado	ADJ	17	iobj
19	a	ADP	17	advmod
20	mediodía	NOUN	19	fixed
21	Joel	PROPN	17	nsubj
22	,	PUNCT	25	punct
23	tras	ADP	25	mark
24	haber	AUX	25	aux
25	dormido	VERB	17	advcl
26	en	ADP	27	case
27	asientos	NOUN	25	obl
28	y	CCONJ	29	cc
29	lavabos	NOUN	27	conj
30	del	ADP	31	case
31	aeropuerto	NOUN	27	nmod
32	.	PUNCT	17	punct