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:
Ayer, en Argentina, al término de la octava etapa, el conjunto italiano Mapei decidió abandonar la carrera por la poca seguridad existente y el nulo respeto de los conductores de camiones hacia los agentes de tráfico.
Postion	Tokenization
1	Ayer
2	,
3	en
4	Argentina
5	,
6	al
7	término
8	de
9	la
10	octava
11	etapa
12	,
13	el
14	conjunto
15	italiano
16	Mapei
17	decidió
18	abandonar
19	la
20	carrera
21	por
22	la
23	poca
24	seguridad
25	existente
26	y
27	el
28	nulo
29	respeto
30	de
31	los
32	conductores
33	de
34	camiones
35	hacia
36	los
37	agentes
38	de
39	tráfico
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Ayer	ADV	17	advmod
2	,	PUNCT	1	punct
3	en	ADP	4	case
4	Argentina	PROPN	17	obl
5	,	PUNCT	11	punct
6	al	ADP	11	case
7	término	NOUN	6	fixed
8	de	ADP	6	fixed
9	la	DET	11	det
10	octava	ADJ	11	amod
11	etapa	NOUN	17	obl
12	,	PUNCT	11	punct
13	el	DET	14	det
14	conjunto	NOUN	17	nsubj
15	italiano	ADJ	14	amod
16	Mapei	PROPN	14	appos
17	decidió	VERB	0	root
18	abandonar	VERB	17	xcomp
19	la	DET	20	det
20	carrera	NOUN	18	obj
21	por	ADP	24	case
22	la	DET	24	det
23	poca	DET	22	det
24	seguridad	NOUN	18	obl
25	existente	ADJ	24	amod
26	y	CCONJ	29	cc
27	el	DET	29	det
28	nulo	ADJ	29	amod
29	respeto	NOUN	24	conj
30	de	ADP	32	case
31	los	DET	32	det
32	conductores	NOUN	29	nmod
33	de	ADP	34	case
34	camiones	NOUN	32	nmod
35	hacia	ADP	37	case
36	los	DET	37	det
37	agentes	NOUN	29	nmod
38	de	ADP	39	case
39	tráfico	NOUN	37	nmod
40	.	PUNCT	17	punct