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:
En ciclismo hubo que lamentar la muerte de Saúl Morales, embestido por un camión durante la disputa de la séptima etapa de la Vuelta Ciclista a Argentina.
Postion	Tokenization
1	En
2	ciclismo
3	hubo
4	que
5	lamentar
6	la
7	muerte
8	de
9	Saúl
10	Morales
11	,
12	embestido
13	por
14	un
15	camión
16	durante
17	la
18	disputa
19	de
20	la
21	séptima
22	etapa
23	de
24	la
25	Vuelta
26	Ciclista
27	a
28	Argentina
29	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	ciclismo	NOUN	5	obl
3	hubo	AUX	0	root
4	que	SCONJ	5	cc
5	lamentar	VERB	3	conj
6	la	DET	7	det
7	muerte	NOUN	5	nsubj
8	de	ADP	9	case
9	Saúl	PROPN	7	nmod
10	Morales	PROPN	9	flat
11	,	PUNCT	12	punct
12	embestido	ADJ	9	amod
13	por	ADP	15	case
14	un	DET	15	det
15	camión	NOUN	12	obj
16	durante	ADP	18	case
17	la	DET	18	det
18	disputa	NOUN	12	obl
19	de	ADP	22	case
20	la	DET	22	det
21	séptima	ADJ	22	amod
22	etapa	NOUN	18	nmod
23	de	ADP	25	case
24	la	DET	25	det
25	Vuelta	PROPN	18	nmod
26	Ciclista	PROPN	25	flat
27	a	ADP	28	case
28	Argentina	PROPN	25	nmod
29	.	PUNCT	3	punct