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:
El maestro rumano Horia Andreescu sustituirá a Lawrence Foster al frente de la formación debido a la enfermedad que obliga a estar de baja al titular de la OBC.
Postion	Tokenization
1	El
2	maestro
3	rumano
4	Horia
5	Andreescu
6	sustituirá
7	a
8	Lawrence
9	Foster
10	al
11	frente
12	de
13	la
14	formación
15	debido
16	a
17	la
18	enfermedad
19	que
20	obliga
21	a
22	estar
23	de
24	baja
25	al
26	titular
27	de
28	la
29	OBC
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	maestro	NOUN	6	nsubj
3	rumano	ADJ	2	amod
4	Horia	PROPN	2	appos
5	Andreescu	PROPN	4	flat
6	sustituirá	VERB	0	root
7	a	ADP	8	case
8	Lawrence	PROPN	6	obj
9	Foster	PROPN	8	flat
10	al	ADP	14	case
11	frente	NOUN	10	fixed
12	de	ADP	10	fixed
13	la	DET	14	det
14	formación	NOUN	6	obl
15	debido	ADJ	18	case
16	a	ADP	15	fixed
17	la	DET	18	det
18	enfermedad	NOUN	6	obl
19	que	PRON	20	nsubj
20	obliga	VERB	18	acl
21	a	ADP	24	mark
22	estar	AUX	24	cop
23	de	ADP	24	case
24	baja	NOUN	20	xcomp
25	al	ADP	26	case
26	titular	NOUN	20	iobj
27	de	ADP	29	case
28	la	DET	29	det
29	OBC	PROPN	26	nmod
30	.	PUNCT	6	punct