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 pasado 10 de abril, otros cinco pasajeros perdieron la vida al caer el autobús en el que viajaban por un terraplén de unos 40 metros en la provincia de Orense.
Postion	Tokenization
1	El
2	pasado
3	10
4	de
5	abril
6	,
7	otros
8	cinco
9	pasajeros
10	perdieron
11	la
12	vida
13	al
14	caer
15	el
16	autobús
17	en
18	el
19	que
20	viajaban
21	por
22	un
23	terraplén
24	de
25	unos
26	40
27	metros
28	en
29	la
30	provincia
31	de
32	Orense
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	pasado	ADJ	3	amod
3	10	NUM	10	obl
4	de	ADP	5	case
5	abril	NOUN	3	compound
6	,	PUNCT	3	punct
7	otros	PRON	9	nmod
8	cinco	NUM	7	nummod
9	pasajeros	NOUN	10	nsubj
10	perdieron	VERB	0	root
11	la	DET	12	det
12	vida	NOUN	10	obj
13	al	ADP	14	mark
14	caer	VERB	10	advcl
15	el	DET	16	det
16	autobús	NOUN	14	nsubj
17	en	ADP	19	case
18	el	DET	19	det
19	que	PRON	20	obl
20	viajaban	VERB	16	acl
21	por	ADP	23	case
22	un	DET	23	det
23	terraplén	NOUN	14	obl
24	de	ADP	27	case
25	unos	PRON	26	nmod
26	40	NUM	27	nummod
27	metros	NOUN	23	nmod
28	en	ADP	30	case
29	la	DET	30	det
30	provincia	NOUN	23	nmod
31	de	ADP	32	case
32	Orense	PROPN	30	nmod
33	.	PUNCT	10	punct