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:
Durante el invierno tuve problemas en la rodilla y en el tobillo, pero ahora ya me estoy entrenando casi al cien por cien ", manifestó a Efe Lamela.
Postion	Tokenization
1	Durante
2	el
3	invierno
4	tuve
5	problemas
6	en
7	la
8	rodilla
9	y
10	en
11	el
12	tobillo
13	,
14	pero
15	ahora
16	ya
17	me
18	estoy
19	entrenando
20	casi
21	al
22	cien
23	por
24	cien
25	"
26	,
27	manifestó
28	a
29	Efe
30	Lamela
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Durante	ADP	3	case
2	el	DET	3	det
3	invierno	NOUN	4	obl
4	tuve	VERB	27	ccomp
5	problemas	NOUN	4	obj
6	en	ADP	8	case
7	la	DET	8	det
8	rodilla	NOUN	4	obl
9	y	CCONJ	12	cc
10	en	ADP	12	case
11	el	DET	12	det
12	tobillo	NOUN	8	conj
13	,	PUNCT	19	punct
14	pero	CCONJ	19	cc
15	ahora	ADV	19	advmod
16	ya	ADV	19	advmod
17	me	PRON	19	expl:pv
18	estoy	AUX	19	aux
19	entrenando	VERB	4	conj
20	casi	ADV	19	advmod
21	al	ADP	20	case
22	cien	NUM	20	nummod
23	por	ADP	22	compound
24	cien	NUM	22	compound
25	"	PUNCT	4	punct
26	,	PUNCT	4	punct
27	manifestó	VERB	0	root
28	a	ADP	29	case
29	Efe	PROPN	27	iobj
30	Lamela	PROPN	27	nsubj
31	.	PUNCT	27	punct