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:
Alou perdió el resto de la temporada cuando al igual que Reynolds sufrió una lesión en la rodilla en los momentos en que trotaba en el diamante.
Postion	Tokenization
1	Alou
2	perdió
3	el
4	resto
5	de
6	la
7	temporada
8	cuando
9	al
10	igual
11	que
12	Reynolds
13	sufrió
14	una
15	lesión
16	en
17	la
18	rodilla
19	en
20	los
21	momentos
22	en
23	que
24	trotaba
25	en
26	el
27	diamante
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Alou	PROPN	2	nsubj
2	perdió	VERB	0	root
3	el	DET	4	det
4	resto	NOUN	7	nmod
5	de	ADP	4	case
6	la	DET	4	det
7	temporada	NOUN	2	obj
8	cuando	SCONJ	13	mark
9	al	ADP	12	mark
10	igual	ADJ	9	fixed
11	que	SCONJ	9	fixed
12	Reynolds	PROPN	13	obl
13	sufrió	VERB	2	advcl
14	una	DET	15	det
15	lesión	NOUN	13	obj
16	en	ADP	18	case
17	la	DET	18	det
18	rodilla	NOUN	15	nmod
19	en	ADP	21	case
20	los	DET	21	det
21	momentos	NOUN	13	obl
22	en	ADP	23	case
23	que	PRON	24	obl
24	trotaba	VERB	21	acl
25	en	ADP	27	case
26	el	DET	27	det
27	diamante	NOUN	24	obl
28	.	PUNCT	2	punct