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 caso de Rominger, padre de un niño en plena Vuelta a España, con un parto de cesárea para su mujer, es duro de afrontar desde la distancia.
Postion	Tokenization
1	El
2	caso
3	de
4	Rominger
5	,
6	padre
7	de
8	un
9	niño
10	en
11	plena
12	Vuelta
13	a
14	España
15	,
16	con
17	un
18	parto
19	de
20	cesárea
21	para
22	su
23	mujer
24	,
25	es
26	duro
27	de
28	afrontar
29	desde
30	la
31	distancia
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	caso	NOUN	26	nsubj
3	de	ADP	4	case
4	Rominger	PROPN	2	nmod
5	,	PUNCT	6	punct
6	padre	NOUN	4	appos
7	de	ADP	9	case
8	un	DET	9	det
9	niño	NOUN	6	nmod
10	en	ADP	12	case
11	plena	ADJ	12	amod
12	Vuelta	PROPN	6	nmod
13	a	ADP	14	case
14	España	PROPN	12	nmod
15	,	PUNCT	18	punct
16	con	ADP	18	case
17	un	DET	18	det
18	parto	NOUN	6	nmod
19	de	ADP	20	case
20	cesárea	NOUN	18	nmod
21	para	ADP	23	case
22	su	DET	23	det
23	mujer	NOUN	18	nmod
24	,	PUNCT	18	punct
25	es	AUX	26	cop
26	duro	ADJ	0	root
27	de	ADP	28	mark
28	afrontar	VERB	26	acl
29	desde	ADP	31	case
30	la	DET	31	det
31	distancia	NOUN	28	obl
32	.	PUNCT	26	punct