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:
Sin Redondo, que no se ha recuperado de su esguince en la rodilla derecha, ni Mijatovic, con molestias en el tendón de Aquiles, el Madrid pasará el primer examen del año ante su afición.
Postion	Tokenization
1	Sin
2	Redondo
3	,
4	que
5	no
6	se
7	ha
8	recuperado
9	de
10	su
11	esguince
12	en
13	la
14	rodilla
15	derecha
16	,
17	ni
18	Mijatovic
19	,
20	con
21	molestias
22	en
23	el
24	tendón
25	de
26	Aquiles
27	,
28	el
29	Madrid
30	pasará
31	el
32	primer
33	examen
34	del
35	año
36	ante
37	su
38	afición
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	2	case
2	Redondo	PROPN	30	obl
3	,	PUNCT	8	punct
4	que	PRON	8	nsubj
5	no	ADV	8	advmod
6	se	PRON	8	expl:pv
7	ha	AUX	8	aux
8	recuperado	VERB	2	acl
9	de	ADP	11	case
10	su	DET	11	det
11	esguince	NOUN	8	obj
12	en	ADP	14	case
13	la	DET	14	det
14	rodilla	NOUN	11	nmod
15	derecha	ADJ	14	amod
16	,	PUNCT	8	punct
17	ni	CCONJ	18	cc
18	Mijatovic	PROPN	2	conj
19	,	PUNCT	21	punct
20	con	ADP	21	case
21	molestias	NOUN	18	nmod
22	en	ADP	24	case
23	el	DET	24	det
24	tendón	NOUN	21	nmod
25	de	ADP	26	case
26	Aquiles	PROPN	24	nmod
27	,	PUNCT	2	punct
28	el	DET	29	det
29	Madrid	PROPN	30	nsubj
30	pasará	VERB	0	root
31	el	DET	33	det
32	primer	ADJ	33	amod
33	examen	NOUN	30	obj
34	del	ADP	35	case
35	año	NOUN	33	nmod
36	ante	ADP	38	case
37	su	DET	38	det
38	afición	NOUN	30	obl
39	.	PUNCT	30	punct