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:
El Rey regresó el jueves de un viaje privado a Namibia, donde, durante dos semanas, recorrió reservas animales atendiendo a una invitación personal del presidente, Sam Nujoma.
Postion	Tokenization
1	El
2	Rey
3	regresó
4	el
5	jueves
6	de
7	un
8	viaje
9	privado
10	a
11	Namibia
12	,
13	donde
14	,
15	durante
16	dos
17	semanas
18	,
19	recorrió
20	reservas
21	animales
22	atendiendo
23	a
24	una
25	invitación
26	personal
27	del
28	presidente
29	,
30	Sam
31	Nujoma
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Rey	PROPN	3	nsubj
3	regresó	VERB	0	root
4	el	DET	5	det
5	jueves	NOUN	3	obl
6	de	ADP	8	case
7	un	DET	8	det
8	viaje	NOUN	3	obl
9	privado	ADJ	8	amod
10	a	ADP	11	case
11	Namibia	PROPN	8	nmod
12	,	PUNCT	19	punct
13	donde	PRON	19	obl
14	,	PUNCT	17	punct
15	durante	ADP	17	case
16	dos	NUM	17	nummod
17	semanas	NOUN	19	obl
18	,	PUNCT	17	punct
19	recorrió	VERB	11	acl
20	reservas	NOUN	19	obj
21	animales	ADJ	20	amod
22	atendiendo	VERB	19	advcl
23	a	ADP	25	case
24	una	DET	25	det
25	invitación	NOUN	22	obj
26	personal	ADJ	25	amod
27	del	ADP	28	case
28	presidente	NOUN	25	nmod
29	,	PUNCT	30	punct
30	Sam	PROPN	28	appos
31	Nujoma	PROPN	30	flat
32	.	PUNCT	3	punct