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 ciclista encontró la muerte, a sus 25 años, al ser embestido de frente por un camión que no obedeció la orden de parar que le dio la policía federal argentina, en la carretera principal de la provincia de San Juan, a unos 1.200 kilómetros de Buenos Aires, cerca de la frontera con Chile.
Postion	Tokenization
1	El
2	ciclista
3	encontró
4	la
5	muerte
6	,
7	a
8	sus
9	25
10	años
11	,
12	al
13	ser
14	embestido
15	de
16	frente
17	por
18	un
19	camión
20	que
21	no
22	obedeció
23	la
24	orden
25	de
26	parar
27	que
28	le
29	dio
30	la
31	policía
32	federal
33	argentina
34	,
35	en
36	la
37	carretera
38	principal
39	de
40	la
41	provincia
42	de
43	San
44	Juan
45	,
46	a
47	unos
48	1.200
49	kilómetros
50	de
51	Buenos
52	Aires
53	,
54	cerca
55	de
56	la
57	frontera
58	con
59	Chile
60	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ciclista	NOUN	3	nsubj
3	encontró	VERB	0	root
4	la	DET	5	det
5	muerte	NOUN	3	obj
6	,	PUNCT	10	punct
7	a	ADP	10	case
8	sus	PRON	9	nmod
9	25	NUM	10	nummod
10	años	NOUN	3	obl
11	,	PUNCT	10	punct
12	al	ADP	14	mark
13	ser	AUX	14	aux
14	embestido	VERB	3	advcl
15	de	ADP	14	advmod
16	frente	NOUN	15	fixed
17	por	ADP	19	case
18	un	DET	19	det
19	camión	NOUN	14	obj
20	que	PRON	22	nsubj
21	no	ADV	22	advmod
22	obedeció	VERB	19	acl
23	la	DET	24	det
24	orden	NOUN	22	obj
25	de	ADP	26	mark
26	parar	VERB	24	acl
27	que	PRON	29	obj
28	le	PRON	29	obj
29	dio	VERB	24	acl
30	la	DET	31	det
31	policía	NOUN	29	nsubj
32	federal	ADJ	31	amod
33	argentina	ADJ	31	amod
34	,	PUNCT	37	punct
35	en	ADP	37	case
36	la	DET	37	det
37	carretera	NOUN	14	obl
38	principal	ADJ	37	amod
39	de	ADP	41	case
40	la	DET	41	det
41	provincia	NOUN	37	nmod
42	de	ADP	43	case
43	San	PROPN	41	nmod
44	Juan	PROPN	43	flat
45	,	PUNCT	49	punct
46	a	ADP	49	case
47	unos	PRON	48	nmod
48	1.200	NUM	49	nummod
49	kilómetros	NOUN	14	obl
50	de	ADP	51	case
51	Buenos	PROPN	49	nmod
52	Aires	PROPN	51	flat
53	,	PUNCT	54	punct
54	cerca	ADV	49	advmod
55	de	ADP	57	case
56	la	DET	57	det
57	frontera	NOUN	54	obl
58	con	ADP	59	case
59	Chile	PROPN	57	nmod
60	.	PUNCT	3	punct