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:
Hasta la pasada semana, Sudáfrica era centro de acogida de las poblaciones desplazadas por los conflictos bélicos que azotan los países circundantes.
Postion	Tokenization
1	Hasta
2	la
3	pasada
4	semana
5	,
6	Sudáfrica
7	era
8	centro
9	de
10	acogida
11	de
12	las
13	poblaciones
14	desplazadas
15	por
16	los
17	conflictos
18	bélicos
19	que
20	azotan
21	los
22	países
23	circundantes
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Hasta	ADP	4	case
2	la	DET	4	det
3	pasada	ADJ	4	amod
4	semana	NOUN	8	obl
5	,	PUNCT	4	punct
6	Sudáfrica	PROPN	8	nsubj
7	era	AUX	8	cop
8	centro	NOUN	0	root
9	de	ADP	10	case
10	acogida	NOUN	8	nmod
11	de	ADP	13	case
12	las	DET	13	det
13	poblaciones	NOUN	10	nmod
14	desplazadas	ADJ	13	amod
15	por	ADP	17	case
16	los	DET	17	det
17	conflictos	NOUN	14	obl
18	bélicos	ADJ	17	amod
19	que	PRON	20	nsubj
20	azotan	VERB	17	acl
21	los	DET	22	det
22	países	NOUN	20	obj
23	circundantes	ADJ	22	amod
24	.	PUNCT	8	punct