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:
Mori sucedió a Obuchi tras haber sufrido éste una embolia cerebral a comienzos del pasado mes abril que le causó la muerte el 14 de mayo.
Postion	Tokenization
1	Mori
2	sucedió
3	a
4	Obuchi
5	tras
6	haber
7	sufrido
8	éste
9	una
10	embolia
11	cerebral
12	a
13	comienzos
14	del
15	pasado
16	mes
17	abril
18	que
19	le
20	causó
21	la
22	muerte
23	el
24	14
25	de
26	mayo
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Mori	PROPN	2	nsubj
2	sucedió	VERB	0	root
3	a	ADP	4	case
4	Obuchi	PROPN	2	obj
5	tras	ADP	7	mark
6	haber	AUX	7	aux
7	sufrido	VERB	2	advcl
8	éste	PRON	7	nsubj
9	una	DET	10	det
10	embolia	NOUN	7	obj
11	cerebral	ADJ	10	amod
12	a	ADP	13	case
13	comienzos	NOUN	7	obl
14	del	ADP	15	case
15	pasado	NOUN	13	nmod
16	mes	NOUN	15	compound
17	abril	NOUN	15	compound
18	que	PRON	20	nsubj
19	le	PRON	20	obj
20	causó	VERB	10	acl
21	la	DET	22	det
22	muerte	NOUN	20	obj
23	el	DET	24	det
24	14	NUM	20	obl
25	de	ADP	26	case
26	mayo	NOUN	24	compound
27	.	PUNCT	2	punct