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 el primer estudio, dirigido por Eva Mezey (NINDS), se inyectaron células de la médula de ratones machos normales en hembras recién nacidas que no tenían glóbulos blancos propios.
Postion	Tokenization
1	En
2	el
3	primer
4	estudio
5	,
6	dirigido
7	por
8	Eva
9	Mezey
10	(
11	NINDS
12	)
13	,
14	se
15	inyectaron
16	células
17	de
18	la
19	médula
20	de
21	ratones
22	machos
23	normales
24	en
25	hembras
26	recién
27	nacidas
28	que
29	no
30	tenían
31	glóbulos
32	blancos
33	propios
34	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	el	DET	4	det
3	primer	ADJ	4	amod
4	estudio	NOUN	15	obl
5	,	PUNCT	6	punct
6	dirigido	ADJ	4	amod
7	por	ADP	8	case
8	Eva	PROPN	6	obj
9	Mezey	PROPN	8	flat
10	(	PUNCT	11	punct
11	NINDS	PROPN	8	flat
12	)	PUNCT	11	punct
13	,	PUNCT	6	punct
14	se	PRON	15	expl:pass
15	inyectaron	VERB	0	root
16	células	NOUN	15	nsubj
17	de	ADP	19	case
18	la	DET	19	det
19	médula	NOUN	16	nmod
20	de	ADP	21	case
21	ratones	NOUN	16	nmod
22	machos	NOUN	21	nmod
23	normales	ADJ	21	amod
24	en	ADP	25	case
25	hembras	NOUN	15	obl
26	recién	ADV	27	advmod
27	nacidas	ADJ	25	amod
28	que	PRON	30	nsubj
29	no	ADV	30	advmod
30	tenían	VERB	25	acl
31	glóbulos	NOUN	30	obj
32	blancos	ADJ	31	amod
33	propios	ADJ	31	amod
34	.	PUNCT	15	punct