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:
Tras un paseo de inspección y después de descartar un campamento, que señala su presencia con un gran cartel del presidente Robert Mugabe, el vehículo se detiene en un paraje poblado de árboles.
Postion	Tokenization
1	Tras
2	un
3	paseo
4	de
5	inspección
6	y
7	después
8	de
9	descartar
10	un
11	campamento
12	,
13	que
14	señala
15	su
16	presencia
17	con
18	un
19	gran
20	cartel
21	del
22	presidente
23	Robert
24	Mugabe
25	,
26	el
27	vehículo
28	se
29	detiene
30	en
31	un
32	paraje
33	poblado
34	de
35	árboles
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	3	case
2	un	DET	3	det
3	paseo	NOUN	29	obl
4	de	ADP	5	case
5	inspección	NOUN	3	nmod
6	y	CCONJ	7	cc
7	después	ADV	3	conj
8	de	ADP	9	mark
9	descartar	VERB	7	advcl
10	un	DET	11	det
11	campamento	NOUN	9	obj
12	,	PUNCT	14	punct
13	que	PRON	14	nsubj
14	señala	VERB	11	acl
15	su	DET	16	det
16	presencia	NOUN	14	obj
17	con	ADP	20	case
18	un	DET	20	det
19	gran	ADJ	20	amod
20	cartel	NOUN	14	obl
21	del	ADP	22	case
22	presidente	NOUN	20	nmod
23	Robert	PROPN	22	appos
24	Mugabe	PROPN	23	flat
25	,	PUNCT	14	punct
26	el	DET	27	det
27	vehículo	NOUN	29	nsubj
28	se	PRON	29	expl:pv
29	detiene	VERB	0	root
30	en	ADP	32	case
31	un	DET	32	det
32	paraje	NOUN	29	obl
33	poblado	ADJ	32	amod
34	de	ADP	35	case
35	árboles	NOUN	33	obj
36	.	PUNCT	29	punct