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:
"He estrellado unos cuantos aviones, y me pasé unos años en un hotel en el que no ponían caramelos en la almohada, por eso os digo ahora que vamos a ganar en Michigan", dijo McCain.
Postion	Tokenization
1	"
2	He
3	estrellado
4	unos
5	cuantos
6	aviones
7	,
8	y
9	me
10	pasé
11	unos
12	años
13	en
14	un
15	hotel
16	en
17	el
18	que
19	no
20	ponían
21	caramelos
22	en
23	la
24	almohada
25	,
26	por
27	eso
28	os
29	digo
30	ahora
31	que
32	vamos
33	a
34	ganar
35	en
36	Michigan
37	"
38	,
39	dijo
40	McCain
41	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	He	AUX	3	aux
3	estrellado	VERB	39	ccomp
4	unos	DET	6	det
5	cuantos	DET	4	det
6	aviones	NOUN	3	obj
7	,	PUNCT	10	punct
8	y	CCONJ	10	cc
9	me	PRON	10	iobj
10	pasé	VERB	3	conj
11	unos	DET	12	det
12	años	NOUN	10	obj
13	en	ADP	15	case
14	un	DET	15	det
15	hotel	NOUN	10	obl
16	en	ADP	18	case
17	el	DET	18	det
18	que	PRON	20	obl
19	no	ADV	20	advmod
20	ponían	VERB	15	acl
21	caramelos	NOUN	20	obj
22	en	ADP	24	case
23	la	DET	24	det
24	almohada	NOUN	20	obl
25	,	PUNCT	3	punct
26	por	ADP	27	case
27	eso	PRON	29	obl
28	os	PRON	29	iobj
29	digo	VERB	3	advcl
30	ahora	ADV	29	advmod
31	que	SCONJ	34	mark
32	vamos	AUX	34	aux
33	a	ADP	34	mark
34	ganar	VERB	29	xcomp
35	en	ADP	36	case
36	Michigan	PROPN	34	obl
37	"	PUNCT	3	punct
38	,	PUNCT	3	punct
39	dijo	VERB	0	root
40	McCain	PROPN	39	nsubj
41	.	PUNCT	39	punct