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:
Galloway anunció que tomará medidas contra el bloqueo del vuelo, que tenía previsto llevar medicinas, médicos, abogados, psiquiatras y otro personal de ayuda y asistencia a la población.
Postion	Tokenization
1	Galloway
2	anunció
3	que
4	tomará
5	medidas
6	contra
7	el
8	bloqueo
9	del
10	vuelo
11	,
12	que
13	tenía
14	previsto
15	llevar
16	medicinas
17	,
18	médicos
19	,
20	abogados
21	,
22	psiquiatras
23	y
24	otro
25	personal
26	de
27	ayuda
28	y
29	asistencia
30	a
31	la
32	población
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Galloway	PROPN	2	nsubj
2	anunció	VERB	0	root
3	que	SCONJ	4	mark
4	tomará	VERB	2	ccomp
5	medidas	NOUN	4	obj
6	contra	ADP	8	case
7	el	DET	8	det
8	bloqueo	NOUN	5	nmod
9	del	ADP	10	case
10	vuelo	NOUN	8	nmod
11	,	PUNCT	4	punct
12	que	SCONJ	13	mark
13	tenía	VERB	4	advcl
14	previsto	ADJ	13	iobj
15	llevar	VERB	13	xcomp
16	medicinas	NOUN	15	obj
17	,	PUNCT	18	punct
18	médicos	NOUN	16	appos
19	,	PUNCT	20	punct
20	abogados	NOUN	16	appos
21	,	PUNCT	22	punct
22	psiquiatras	NOUN	16	appos
23	y	CCONJ	25	cc
24	otro	DET	25	det
25	personal	NOUN	16	conj
26	de	ADP	27	case
27	ayuda	NOUN	25	nmod
28	y	CCONJ	29	cc
29	asistencia	NOUN	27	conj
30	a	ADP	32	case
31	la	DET	32	det
32	población	NOUN	27	nmod
33	.	PUNCT	2	punct