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:
El presidente uruguayo añadió que se llevarán a cabo exámenes médicos para confirmar que existe una relación de parentesco entre la chica, que en la actualidad tiene 24 años, y el célebre poeta.
Postion	Tokenization
1	El
2	presidente
3	uruguayo
4	añadió
5	que
6	se
7	llevarán
8	a
9	cabo
10	exámenes
11	médicos
12	para
13	confirmar
14	que
15	existe
16	una
17	relación
18	de
19	parentesco
20	entre
21	la
22	chica
23	,
24	que
25	en
26	la
27	actualidad
28	tiene
29	24
30	años
31	,
32	y
33	el
34	célebre
35	poeta
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	4	nsubj
3	uruguayo	ADJ	2	amod
4	añadió	VERB	0	root
5	que	SCONJ	7	mark
6	se	PRON	7	expl:pass
7	llevarán	VERB	4	ccomp
8	a	ADP	9	case
9	cabo	NOUN	7	compound
10	exámenes	NOUN	7	nsubj
11	médicos	ADJ	10	amod
12	para	ADP	13	mark
13	confirmar	VERB	7	advcl
14	que	SCONJ	15	mark
15	existe	VERB	13	ccomp
16	una	DET	17	det
17	relación	NOUN	15	nsubj
18	de	ADP	19	case
19	parentesco	NOUN	17	nmod
20	entre	ADP	22	case
21	la	DET	22	det
22	chica	NOUN	17	nmod
23	,	PUNCT	28	punct
24	que	PRON	28	nsubj
25	en	ADP	27	case
26	la	DET	27	det
27	actualidad	NOUN	28	obl
28	tiene	VERB	22	acl
29	24	NUM	30	nummod
30	años	NOUN	28	obj
31	,	PUNCT	28	punct
32	y	CCONJ	35	cc
33	el	DET	35	det
34	célebre	ADJ	35	amod
35	poeta	NOUN	22	conj
36	.	PUNCT	4	punct