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:
Pero Serra Ferrer tiene una inquietud adicional: el probable sustituto del asturiano en el centro de la defensa, Michael Reiziger, volvió de Holanda con fiebre y un fuerte resfriado.
Postion	Tokenization
1	Pero
2	Serra
3	Ferrer
4	tiene
5	una
6	inquietud
7	adicional
8	:
9	el
10	probable
11	sustituto
12	del
13	asturiano
14	en
15	el
16	centro
17	de
18	la
19	defensa
20	,
21	Michael
22	Reiziger
23	,
24	volvió
25	de
26	Holanda
27	con
28	fiebre
29	y
30	un
31	fuerte
32	resfriado
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	4	advmod
2	Serra	PROPN	4	nsubj
3	Ferrer	PROPN	2	flat
4	tiene	VERB	0	root
5	una	DET	6	det
6	inquietud	NOUN	4	obj
7	adicional	ADJ	6	amod
8	:	PUNCT	24	punct
9	el	DET	11	det
10	probable	ADJ	11	amod
11	sustituto	NOUN	24	nsubj
12	del	ADP	13	case
13	asturiano	NOUN	11	nmod
14	en	ADP	16	case
15	el	DET	16	det
16	centro	NOUN	11	nmod
17	de	ADP	19	case
18	la	DET	19	det
19	defensa	NOUN	16	nmod
20	,	PUNCT	21	punct
21	Michael	PROPN	11	appos
22	Reiziger	PROPN	21	flat
23	,	PUNCT	21	punct
24	volvió	VERB	4	advcl
25	de	ADP	26	case
26	Holanda	PROPN	24	obl
27	con	ADP	28	case
28	fiebre	NOUN	24	obl
29	y	CCONJ	32	cc
30	un	DET	32	det
31	fuerte	ADJ	32	amod
32	resfriado	NOUN	28	conj
33	.	PUNCT	4	punct