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:
Todos ellos, según los médicos, sufren porque la jefatura del Estado cediese ante los golpistas y disolviese el gobierno que formaban, que había sido elegido democráticamente en mayo de 1999.
Postion	Tokenization
1	Todos
2	ellos
3	,
4	según
5	los
6	médicos
7	,
8	sufren
9	porque
10	la
11	jefatura
12	del
13	Estado
14	cediese
15	ante
16	los
17	golpistas
18	y
19	disolviese
20	el
21	gobierno
22	que
23	formaban
24	,
25	que
26	había
27	sido
28	elegido
29	democráticamente
30	en
31	mayo
32	de
33	1999
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Todos	DET	2	det
2	ellos	PRON	8	nsubj
3	,	PUNCT	6	punct
4	según	ADP	6	case
5	los	DET	6	det
6	médicos	NOUN	8	obl
7	,	PUNCT	6	punct
8	sufren	VERB	0	root
9	porque	SCONJ	14	mark
10	la	DET	11	det
11	jefatura	NOUN	14	nsubj
12	del	ADP	13	case
13	Estado	PROPN	11	nmod
14	cediese	VERB	8	advcl
15	ante	ADP	17	case
16	los	DET	17	det
17	golpistas	NOUN	14	obl
18	y	CCONJ	19	cc
19	disolviese	VERB	14	conj
20	el	DET	21	det
21	gobierno	NOUN	19	obj
22	que	PRON	23	obj
23	formaban	VERB	21	acl
24	,	PUNCT	23	punct
25	que	PRON	28	nsubj
26	había	AUX	28	aux
27	sido	AUX	28	aux
28	elegido	VERB	23	advcl
29	democráticamente	ADV	28	advmod
30	en	ADP	31	case
31	mayo	NOUN	28	obl
32	de	ADP	33	case
33	1999	NUM	31	compound
34	.	PUNCT	8	punct