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:
No ha tenido en cuenta las características de los países de la UE que tienen, aunque suene extraño, grandes diferencias en sus sistemas de formación médica.
Postion	Tokenization
1	No
2	ha
3	tenido
4	en
5	cuenta
6	las
7	características
8	de
9	los
10	países
11	de
12	la
13	UE
14	que
15	tienen
16	,
17	aunque
18	suene
19	extraño
20	,
21	grandes
22	diferencias
23	en
24	sus
25	sistemas
26	de
27	formación
28	médica
29	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	3	advmod
2	ha	AUX	3	aux
3	tenido	VERB	0	root
4	en	ADP	5	case
5	cuenta	NOUN	3	compound
6	las	DET	7	det
7	características	NOUN	3	obj
8	de	ADP	10	case
9	los	DET	10	det
10	países	NOUN	7	nmod
11	de	ADP	13	case
12	la	DET	13	det
13	UE	PROPN	10	nmod
14	que	PRON	15	nsubj
15	tienen	VERB	10	acl
16	,	PUNCT	18	punct
17	aunque	SCONJ	18	mark
18	suene	VERB	15	advcl
19	extraño	ADJ	18	obj
20	,	PUNCT	18	punct
21	grandes	ADJ	22	amod
22	diferencias	NOUN	15	obj
23	en	ADP	25	case
24	sus	DET	25	det
25	sistemas	NOUN	15	obl
26	de	ADP	27	case
27	formación	NOUN	25	nmod
28	médica	ADJ	27	amod
29	.	PUNCT	3	punct