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:
Se trata de la esclerosis lateral amiotrófica o mal de Gehring, la misma enfermedad que ha desahuciado al prestigioso y revolucionario físico Stephen Hawking.
Postion	Tokenization
1	Se
2	trata
3	de
4	la
5	esclerosis
6	lateral
7	amiotrófica
8	o
9	mal
10	de
11	Gehring
12	,
13	la
14	misma
15	enfermedad
16	que
17	ha
18	desahuciado
19	al
20	prestigioso
21	y
22	revolucionario
23	físico
24	Stephen
25	Hawking
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:impers
2	trata	VERB	0	root
3	de	ADP	5	case
4	la	DET	5	det
5	esclerosis	NOUN	2	obj
6	lateral	ADJ	5	amod
7	amiotrófica	ADJ	5	amod
8	o	CCONJ	9	cc
9	mal	NOUN	5	conj
10	de	ADP	11	case
11	Gehring	PROPN	9	nmod
12	,	PUNCT	15	punct
13	la	DET	15	det
14	misma	DET	13	det
15	enfermedad	NOUN	5	appos
16	que	PRON	18	nsubj
17	ha	AUX	18	aux
18	desahuciado	VERB	15	acl
19	al	ADP	23	case
20	prestigioso	ADJ	23	amod
21	y	CCONJ	22	cc
22	revolucionario	ADJ	20	conj
23	físico	NOUN	18	obj
24	Stephen	PROPN	23	appos
25	Hawking	PROPN	24	flat
26	.	PUNCT	2	punct