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:
Sendas lesiones en las semifinales de los 200 metros de las pruebas de selección en Sacramento arrebataron al mundo entero uno de los momentos más deseados, verlos dirimir sus diferencias codo a codo en la pista.
Postion	Tokenization
1	Sendas
2	lesiones
3	en
4	las
5	semifinales
6	de
7	los
8	200
9	metros
10	de
11	las
12	pruebas
13	de
14	selección
15	en
16	Sacramento
17	arrebataron
18	al
19	mundo
20	entero
21	uno
22	de
23	los
24	momentos
25	más
26	deseados
27	,
28	verlos
29	ver
30	los
31	dirimir
32	sus
33	diferencias
34	codo
35	a
36	codo
37	en
38	la
39	pista
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Sendas	DET	2	det
2	lesiones	NOUN	17	nsubj
3	en	ADP	5	case
4	las	DET	5	det
5	semifinales	NOUN	2	nmod
6	de	ADP	9	case
7	los	DET	8	det
8	200	NUM	9	nummod
9	metros	NOUN	5	nmod
10	de	ADP	12	case
11	las	DET	12	det
12	pruebas	NOUN	5	nmod
13	de	ADP	14	case
14	selección	NOUN	12	nmod
15	en	ADP	16	case
16	Sacramento	PROPN	12	nmod
17	arrebataron	VERB	0	root
18	al	ADP	19	case
19	mundo	NOUN	17	obj
20	entero	ADJ	19	amod
21	uno	PRON	17	obj
22	de	ADP	24	case
23	los	DET	24	det
24	momentos	NOUN	21	nmod
25	más	ADV	26	advmod
26	deseados	ADJ	24	amod
27	,	PUNCT	28	punct
28	verlos	_	None	_
29	ver	VERB	21	acl
30	los	PRON	28	obj
31	dirimir	VERB	28	xcomp
32	sus	DET	32	det
33	diferencias	NOUN	30	obj
34	codo	NOUN	28	advmod
35	a	ADP	33	fixed
36	codo	NOUN	33	fixed
37	en	ADP	38	case
38	la	DET	38	det
39	pista	NOUN	28	obl
40	.	PUNCT	17	punct