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:
Aviones aterrizando o despegando, cristales rompiéndose sin motivo, trozos de hielo que alguien machaca sin cesar: ésos son algunos de los ruidos que los oídos de ese buen hombre recrean para él cada vez que intenta conciliar el sueño.
Postion	Tokenization
1	Aviones
2	aterrizando
3	o
4	despegando
5	,
6	cristales
7	rompiéndose
8	rompiendo
9	se
10	sin
11	motivo
12	,
13	trozos
14	de
15	hielo
16	que
17	alguien
18	machaca
19	sin
20	cesar
21	:
22	ésos
23	son
24	algunos
25	de
26	los
27	ruidos
28	que
29	los
30	oídos
31	de
32	ese
33	buen
34	hombre
35	recrean
36	para
37	él
38	cada
39	vez
40	que
41	intenta
42	conciliar
43	el
44	sueño
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Aviones	NOUN	23	nsubj
2	aterrizando	VERB	1	acl
3	o	CCONJ	4	cc
4	despegando	VERB	2	conj
5	,	PUNCT	6	punct
6	cristales	NOUN	1	conj
7	rompiéndose	_	None	_
8	rompiendo	VERB	6	acl
9	se	PRON	7	expl:pv
10	sin	ADP	10	case
11	motivo	NOUN	7	obl
12	,	PUNCT	12	punct
13	trozos	NOUN	1	conj
14	de	ADP	14	case
15	hielo	NOUN	12	nmod
16	que	PRON	17	obj
17	alguien	PRON	17	nsubj
18	machaca	VERB	12	acl
19	sin	ADP	19	mark
20	cesar	VERB	17	advcl
21	:	PUNCT	1	punct
22	ésos	PRON	1	flat
23	son	AUX	23	cop
24	algunos	PRON	0	root
25	de	ADP	26	case
26	los	DET	26	det
27	ruidos	NOUN	23	nmod
28	que	PRON	34	obj
29	los	DET	29	det
30	oídos	NOUN	34	nsubj
31	de	ADP	33	case
32	ese	DET	33	det
33	buen	ADJ	33	amod
34	hombre	NOUN	29	nmod
35	recrean	VERB	26	acl
36	para	ADP	36	case
37	él	PRON	34	obj
38	cada	NOUN	40	mark
39	vez	NOUN	37	fixed
40	que	SCONJ	37	fixed
41	intenta	VERB	34	advcl
42	conciliar	VERB	40	xcomp
43	el	DET	43	det
44	sueño	NOUN	41	obj
45	.	PUNCT	23	punct