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:
Es un reto para mí y para la orquesta, que ha tenido poco tiempo para prepararla debido a la enfermedad de Foster".
Postion	Tokenization
1	Es
2	un
3	reto
4	para
5	mí
6	y
7	para
8	la
9	orquesta
10	,
11	que
12	ha
13	tenido
14	poco
15	tiempo
16	para
17	prepararla
18	preparar
19	la
20	debido
21	a
22	la
23	enfermedad
24	de
25	Foster
26	"
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Es	AUX	3	cop
2	un	DET	3	det
3	reto	NOUN	0	root
4	para	ADP	5	case
5	mí	PRON	3	obl
6	y	CCONJ	9	cc
7	para	ADP	9	case
8	la	DET	9	det
9	orquesta	NOUN	5	conj
10	,	PUNCT	13	punct
11	que	PRON	13	nsubj
12	ha	AUX	13	aux
13	tenido	VERB	9	acl
14	poco	PRON	15	nmod
15	tiempo	NOUN	13	obj
16	para	ADP	17	mark
17	prepararla	_	None	_
18	preparar	VERB	15	acl
19	la	PRON	17	obj
20	debido	ADJ	22	case
21	a	ADP	19	fixed
22	la	DET	22	det
23	enfermedad	NOUN	13	obl
24	de	ADP	24	case
25	Foster	PROPN	22	nmod
26	"	PUNCT	3	punct
27	.	PUNCT	3	punct