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 bus, matrícula M-9958-TK y ocupado por 36 viajeros, fue "el peor" y "el más viejo" de todos los que salieron en la noche del Lunes de la estación de Madrid, según la versión de los pasajeros, que destacaron que el vehículo partió con 20 minutos de retraso.
Postion	Tokenization
1	El
2	bus
3	,
4	matrícula
5	M-9958-TK
6	y
7	ocupado
8	por
9	36
10	viajeros
11	,
12	fue
13	"
14	el
15	peor
16	"
17	y
18	"
19	el
20	más
21	viejo
22	"
23	de
24	todos
25	los
26	que
27	salieron
28	en
29	la
30	noche
31	del
32	Lunes
33	de
34	la
35	estación
36	de
37	Madrid
38	,
39	según
40	la
41	versión
42	de
43	los
44	pasajeros
45	,
46	que
47	destacaron
48	que
49	el
50	vehículo
51	partió
52	con
53	20
54	minutos
55	de
56	retraso
57	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	bus	NOUN	15	nsubj
3	,	PUNCT	4	punct
4	matrícula	NOUN	2	nmod
5	M-9958-TK	NUM	4	appos
6	y	CCONJ	7	cc
7	ocupado	ADJ	4	conj
8	por	ADP	10	case
9	36	NUM	10	nummod
10	viajeros	NOUN	7	obj
11	,	PUNCT	4	punct
12	fue	AUX	15	cop
13	"	PUNCT	15	punct
14	el	DET	15	det
15	peor	ADJ	0	root
16	"	PUNCT	21	punct
17	y	CCONJ	21	cc
18	"	PUNCT	21	punct
19	el	DET	21	det
20	más	ADV	21	advmod
21	viejo	ADJ	15	conj
22	"	PUNCT	21	punct
23	de	ADP	27	mark
24	todos	DET	25	det
25	los	DET	27	det
26	que	PRON	27	nsubj
27	salieron	VERB	15	acl
28	en	ADP	30	case
29	la	DET	30	det
30	noche	NOUN	27	obl
31	del	ADP	32	case
32	Lunes	NOUN	30	nmod
33	de	ADP	35	case
34	la	DET	35	det
35	estación	NOUN	27	obl
36	de	ADP	37	case
37	Madrid	PROPN	35	nmod
38	,	PUNCT	41	punct
39	según	ADP	41	case
40	la	DET	41	det
41	versión	NOUN	15	obl
42	de	ADP	44	case
43	los	DET	44	det
44	pasajeros	NOUN	41	nmod
45	,	PUNCT	47	punct
46	que	PRON	47	nsubj
47	destacaron	VERB	44	acl
48	que	SCONJ	51	mark
49	el	DET	50	det
50	vehículo	NOUN	51	nsubj
51	partió	VERB	47	ccomp
52	con	ADP	54	case
53	20	NUM	54	nummod
54	minutos	NOUN	51	obl
55	de	ADP	56	case
56	retraso	NOUN	54	nmod
57	.	PUNCT	15	punct