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:
En Sumatra, la Federación Internacional de la Cruz Roja se encargará de un proyecto para suministrar ayuda de primera necesidad a las víctimas de los terremotos, como productos de higiene, mantas y albergues provisionales.
Postion	Tokenization
1	En
2	Sumatra
3	,
4	la
5	Federación
6	Internacional
7	de
8	la
9	Cruz
10	Roja
11	se
12	encargará
13	de
14	un
15	proyecto
16	para
17	suministrar
18	ayuda
19	de
20	primera
21	necesidad
22	a
23	las
24	víctimas
25	de
26	los
27	terremotos
28	,
29	como
30	productos
31	de
32	higiene
33	,
34	mantas
35	y
36	albergues
37	provisionales
38	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Sumatra	PROPN	12	obl
3	,	PUNCT	2	punct
4	la	DET	5	det
5	Federación	PROPN	12	nsubj
6	Internacional	PROPN	5	flat
7	de	ADP	9	case
8	la	DET	9	det
9	Cruz	PROPN	5	flat
10	Roja	PROPN	5	flat
11	se	PRON	12	expl:pv
12	encargará	VERB	0	root
13	de	ADP	15	case
14	un	DET	15	det
15	proyecto	NOUN	12	obj
16	para	ADP	17	mark
17	suministrar	VERB	15	acl
18	ayuda	NOUN	17	obj
19	de	ADP	21	case
20	primera	ADJ	21	amod
21	necesidad	NOUN	18	nmod
22	a	ADP	24	case
23	las	DET	24	det
24	víctimas	NOUN	17	obj
25	de	ADP	27	case
26	los	DET	27	det
27	terremotos	NOUN	24	nmod
28	,	PUNCT	30	punct
29	como	SCONJ	30	mark
30	productos	NOUN	17	obl
31	de	ADP	32	case
32	higiene	NOUN	30	nmod
33	,	PUNCT	34	punct
34	mantas	NOUN	30	conj
35	y	CCONJ	36	cc
36	albergues	NOUN	30	conj
37	provisionales	ADJ	36	amod
38	.	PUNCT	12	punct