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 procedimiento seguido por todos ellos fue el mismo: comprar un pasaje de avión para viajar de La Habana a Moscú, con escala en Madrid, y aprovechar la parada en la capital española para solicitar asilo político.
Postion	Tokenization
1	El
2	procedimiento
3	seguido
4	por
5	todos
6	ellos
7	fue
8	el
9	mismo
10	:
11	comprar
12	un
13	pasaje
14	de
15	avión
16	para
17	viajar
18	de
19	La
20	Habana
21	a
22	Moscú
23	,
24	con
25	escala
26	en
27	Madrid
28	,
29	y
30	aprovechar
31	la
32	parada
33	en
34	la
35	capital
36	española
37	para
38	solicitar
39	asilo
40	político
41	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	procedimiento	NOUN	9	nsubj
3	seguido	ADJ	2	amod
4	por	ADP	6	case
5	todos	DET	6	det
6	ellos	PRON	3	obj
7	fue	AUX	9	cop
8	el	DET	9	det
9	mismo	PRON	0	root
10	:	PUNCT	11	punct
11	comprar	VERB	9	acl
12	un	DET	13	det
13	pasaje	NOUN	11	obj
14	de	ADP	15	case
15	avión	NOUN	13	nmod
16	para	ADP	17	mark
17	viajar	VERB	13	acl
18	de	ADP	20	case
19	La	DET	20	det
20	Habana	PROPN	17	obl
21	a	ADP	22	case
22	Moscú	PROPN	17	obl
23	,	PUNCT	25	punct
24	con	ADP	25	case
25	escala	NOUN	17	obl
26	en	ADP	27	case
27	Madrid	PROPN	25	nmod
28	,	PUNCT	25	punct
29	y	CCONJ	30	cc
30	aprovechar	VERB	11	conj
31	la	DET	32	det
32	parada	NOUN	30	obj
33	en	ADP	35	case
34	la	DET	35	det
35	capital	NOUN	32	nmod
36	española	ADJ	35	amod
37	para	ADP	38	mark
38	solicitar	VERB	30	advcl
39	asilo	NOUN	38	obj
40	político	ADJ	39	amod
41	.	PUNCT	9	punct