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:
Un ocupante del bus explicó que Miguel Angel Clemente, de 58 años, "apenas sabía abrir el maletero" y "tenía dificultades para poner la marcha atrás".
Postion	Tokenization
1	Un
2	ocupante
3	del
4	bus
5	explicó
6	que
7	Miguel
8	Angel
9	Clemente
10	,
11	de
12	58
13	años
14	,
15	"
16	apenas
17	sabía
18	abrir
19	el
20	maletero
21	"
22	y
23	"
24	tenía
25	dificultades
26	para
27	poner
28	la
29	marcha
30	atrás
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	ocupante	ADJ	5	nsubj
3	del	ADP	4	case
4	bus	NOUN	2	nmod
5	explicó	VERB	0	root
6	que	SCONJ	17	mark
7	Miguel	PROPN	17	nsubj
8	Angel	PROPN	7	flat
9	Clemente	PROPN	7	flat
10	,	PUNCT	13	punct
11	de	ADP	13	case
12	58	NUM	13	nummod
13	años	NOUN	7	nmod
14	,	PUNCT	13	punct
15	"	PUNCT	17	punct
16	apenas	ADV	17	advmod
17	sabía	VERB	5	ccomp
18	abrir	VERB	17	xcomp
19	el	DET	20	det
20	maletero	NOUN	18	obj
21	"	PUNCT	24	punct
22	y	CCONJ	24	cc
23	"	PUNCT	24	punct
24	tenía	VERB	17	conj
25	dificultades	NOUN	24	obj
26	para	ADP	27	mark
27	poner	VERB	25	acl
28	la	DET	29	det
29	marcha	NOUN	27	obj
30	atrás	NOUN	29	compound
31	"	PUNCT	24	punct
32	.	PUNCT	5	punct