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:
Los estadounidenses Maurice Greene y Michael Johnson no se enfrentarán directamente en la pista pero desde la distancia reclamarán, uno en los 100 y el otro en los 400, el número uno del atletismo mundial masculino.
Postion	Tokenization
1	Los
2	estadounidenses
3	Maurice
4	Greene
5	y
6	Michael
7	Johnson
8	no
9	se
10	enfrentarán
11	directamente
12	en
13	la
14	pista
15	pero
16	desde
17	la
18	distancia
19	reclamarán
20	,
21	uno
22	en
23	los
24	100
25	y
26	el
27	otro
28	en
29	los
30	400
31	,
32	el
33	número
34	uno
35	del
36	atletismo
37	mundial
38	masculino
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	3	det
2	estadounidenses	ADJ	3	amod
3	Maurice	PROPN	10	nsubj
4	Greene	PROPN	3	flat
5	y	CCONJ	6	cc
6	Michael	PROPN	3	conj
7	Johnson	PROPN	6	flat
8	no	ADV	10	advmod
9	se	PRON	10	obj
10	enfrentarán	VERB	0	root
11	directamente	ADV	10	advmod
12	en	ADP	14	case
13	la	DET	14	det
14	pista	NOUN	10	obl
15	pero	CCONJ	19	cc
16	desde	ADP	18	case
17	la	DET	18	det
18	distancia	NOUN	19	obl
19	reclamarán	VERB	10	conj
20	,	PUNCT	21	punct
21	uno	PRON	19	nsubj
22	en	ADP	24	case
23	los	DET	24	det
24	100	NUM	21	nummod
25	y	CCONJ	27	cc
26	el	DET	27	det
27	otro	PRON	21	conj
28	en	ADP	30	case
29	los	DET	30	det
30	400	NUM	27	nummod
31	,	PUNCT	33	punct
32	el	DET	33	det
33	número	NOUN	19	obj
34	uno	PRON	33	appos
35	del	ADP	36	case
36	atletismo	NOUN	33	nmod
37	mundial	ADJ	36	amod
38	masculino	ADJ	36	amod
39	.	PUNCT	10	punct