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:
La número dos de la lista, Magda Oranich, se encuentra convaleciente de una reciente enfermedad, y el número dos a efectos prácticos, Josep Miró Ardèvol, está de baja desde hace semanas.
Postion	Tokenization
1	La
2	número
3	dos
4	de
5	la
6	lista
7	,
8	Magda
9	Oranich
10	,
11	se
12	encuentra
13	convaleciente
14	de
15	una
16	reciente
17	enfermedad
18	,
19	y
20	el
21	número
22	dos
23	a
24	efectos
25	prácticos
26	,
27	Josep
28	Miró
29	Ardèvol
30	,
31	está
32	de
33	baja
34	desde
35	hace
36	semanas
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	número	NOUN	12	nsubj
3	dos	NUM	2	appos
4	de	ADP	6	case
5	la	DET	6	det
6	lista	NOUN	2	nmod
7	,	PUNCT	8	punct
8	Magda	PROPN	2	appos
9	Oranich	PROPN	8	flat
10	,	PUNCT	8	punct
11	se	PRON	12	expl:pv
12	encuentra	VERB	0	root
13	convaleciente	ADJ	12	xcomp
14	de	ADP	17	case
15	una	DET	17	det
16	reciente	ADJ	17	amod
17	enfermedad	NOUN	13	nmod
18	,	PUNCT	33	punct
19	y	CCONJ	33	cc
20	el	DET	21	det
21	número	NOUN	33	nsubj
22	dos	NUM	21	appos
23	a	ADP	24	case
24	efectos	NOUN	21	nmod
25	prácticos	ADJ	24	amod
26	,	PUNCT	27	punct
27	Josep	PROPN	21	appos
28	Miró	PROPN	27	flat
29	Ardèvol	PROPN	27	flat
30	,	PUNCT	27	punct
31	está	AUX	33	cop
32	de	ADP	33	case
33	baja	NOUN	13	conj
34	desde	ADP	35	mark
35	hace	VERB	33	advcl
36	semanas	NOUN	35	obj
37	.	PUNCT	12	punct