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:
Rafa, que sufrió la semana pasada una fuerte infección de garganta que requirió una ligera intervención quirúrgica, aseguró hoy que se encuentra bien y que ya ha podido trabajar al cien por cien con el grupo.
Postion	Tokenization
1	Rafa
2	,
3	que
4	sufrió
5	la
6	semana
7	pasada
8	una
9	fuerte
10	infección
11	de
12	garganta
13	que
14	requirió
15	una
16	ligera
17	intervención
18	quirúrgica
19	,
20	aseguró
21	hoy
22	que
23	se
24	encuentra
25	bien
26	y
27	que
28	ya
29	ha
30	podido
31	trabajar
32	al
33	cien
34	por
35	cien
36	con
37	el
38	grupo
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Rafa	PROPN	20	nsubj
2	,	PUNCT	4	punct
3	que	PRON	4	nsubj
4	sufrió	VERB	1	acl
5	la	DET	6	det
6	semana	NOUN	4	obl
7	pasada	ADJ	6	amod
8	una	DET	10	det
9	fuerte	ADJ	10	amod
10	infección	NOUN	4	obj
11	de	ADP	12	case
12	garganta	NOUN	10	nmod
13	que	PRON	14	nsubj
14	requirió	VERB	10	acl
15	una	DET	17	det
16	ligera	ADJ	17	amod
17	intervención	NOUN	14	obj
18	quirúrgica	ADJ	17	amod
19	,	PUNCT	4	punct
20	aseguró	VERB	0	root
21	hoy	ADV	20	advmod
22	que	SCONJ	24	mark
23	se	PRON	24	expl:pv
24	encuentra	VERB	20	ccomp
25	bien	ADV	24	xcomp
26	y	CCONJ	31	cc
27	que	SCONJ	31	mark
28	ya	ADV	31	advmod
29	ha	AUX	31	aux
30	podido	AUX	31	aux
31	trabajar	VERB	25	conj
32	al	ADP	33	case
33	cien	NUM	31	obl
34	por	ADP	33	compound
35	cien	NUM	33	compound
36	con	ADP	38	case
37	el	DET	38	det
38	grupo	NOUN	31	obl
39	.	PUNCT	20	punct