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:
"En noviembre del año pasado visitamos, el señor Samaranch y yo, a Emil en el hospital donde se recuperaba de una fractura de la que entonces felizmente se recuperó bien". dijo.
Postion	Tokenization
1	"
2	En
3	noviembre
4	del
5	año
6	pasado
7	visitamos
8	,
9	el
10	señor
11	Samaranch
12	y
13	yo
14	,
15	a
16	Emil
17	en
18	el
19	hospital
20	donde
21	se
22	recuperaba
23	de
24	una
25	fractura
26	de
27	la
28	que
29	entonces
30	felizmente
31	se
32	recuperó
33	bien
34	"
35	.
36	dijo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	7	punct
2	En	ADP	3	case
3	noviembre	NOUN	7	obl
4	del	ADP	5	case
5	año	NOUN	3	nmod
6	pasado	ADJ	3	amod
7	visitamos	VERB	36	ccomp
8	,	PUNCT	10	punct
9	el	DET	10	det
10	señor	NOUN	7	nsubj
11	Samaranch	PROPN	10	appos
12	y	CCONJ	13	cc
13	yo	PRON	10	conj
14	,	PUNCT	10	punct
15	a	ADP	16	case
16	Emil	PROPN	7	obj
17	en	ADP	19	case
18	el	DET	19	det
19	hospital	NOUN	7	obl
20	donde	PRON	22	obl
21	se	PRON	22	expl:pv
22	recuperaba	VERB	19	acl
23	de	ADP	25	case
24	una	DET	25	det
25	fractura	NOUN	22	obj
26	de	ADP	28	case
27	la	DET	28	det
28	que	PRON	32	obj
29	entonces	ADV	32	advmod
30	felizmente	ADV	32	advmod
31	se	PRON	32	expl:pv
32	recuperó	VERB	25	acl
33	bien	ADV	32	advmod
34	"	PUNCT	7	punct
35	.	PUNCT	7	punct
36	dijo	VERB	0	root
37	.	PUNCT	36	punct