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:
Además, Save the Children (UK) se encargará de un programa de educación para los jóvenes que viven en los campos de refugiados.
Postion	Tokenization
1	Además
2	,
3	Save
4	the
5	Children
6	(
7	UK
8	)
9	se
10	encargará
11	de
12	un
13	programa
14	de
15	educación
16	para
17	los
18	jóvenes
19	que
20	viven
21	en
22	los
23	campos
24	de
25	refugiados
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	10	advmod
2	,	PUNCT	1	punct
3	Save	PROPN	10	nsubj
4	the	PROPN	3	flat
5	Children	PROPN	3	flat
6	(	PUNCT	7	punct
7	UK	PROPN	3	flat
8	)	PUNCT	7	punct
9	se	PRON	10	expl:pv
10	encargará	VERB	0	root
11	de	ADP	13	case
12	un	DET	13	det
13	programa	NOUN	10	obj
14	de	ADP	15	case
15	educación	NOUN	13	nmod
16	para	ADP	18	case
17	los	DET	18	det
18	jóvenes	NOUN	13	nmod
19	que	PRON	20	nsubj
20	viven	VERB	18	acl
21	en	ADP	23	case
22	los	DET	23	det
23	campos	NOUN	20	obl
24	de	ADP	25	case
25	refugiados	NOUN	23	nmod
26	.	PUNCT	10	punct