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 segundo estudio, Helen Blau y sus colegas de Stanford inyectaron médula ósea de unos ratones en otros que habían sido irradiados para que no la tuvieran.
Postion	Tokenization
1	En
2	el
3	segundo
4	estudio
5	,
6	Helen
7	Blau
8	y
9	sus
10	colegas
11	de
12	Stanford
13	inyectaron
14	médula
15	ósea
16	de
17	unos
18	ratones
19	en
20	otros
21	que
22	habían
23	sido
24	irradiados
25	para
26	que
27	no
28	la
29	tuvieran
30	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	el	DET	4	det
3	segundo	ADJ	4	amod
4	estudio	NOUN	13	obl
5	,	PUNCT	4	punct
6	Helen	PROPN	13	nsubj
7	Blau	PROPN	6	flat
8	y	CCONJ	10	cc
9	sus	DET	10	det
10	colegas	NOUN	6	conj
11	de	ADP	12	case
12	Stanford	PROPN	10	nmod
13	inyectaron	VERB	0	root
14	médula	NOUN	13	obj
15	ósea	ADJ	14	amod
16	de	ADP	18	case
17	unos	DET	18	det
18	ratones	NOUN	14	nmod
19	en	ADP	20	case
20	otros	PRON	13	obl
21	que	PRON	24	nsubj
22	habían	AUX	24	aux
23	sido	AUX	24	aux
24	irradiados	VERB	20	acl
25	para	ADP	29	mark
26	que	SCONJ	29	mark
27	no	ADV	29	advmod
28	la	PRON	29	obj
29	tuvieran	VERB	24	advcl
30	.	PUNCT	13	punct