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 hubo daños personales ni materiales, aunque los médicos tuvieron que curar los cortes que dos pasajeros sufrieron en las manos al romper el cristal que guarda el freno de emergencia.
Postion	Tokenization
1	No
2	hubo
3	daños
4	personales
5	ni
6	materiales
7	,
8	aunque
9	los
10	médicos
11	tuvieron
12	que
13	curar
14	los
15	cortes
16	que
17	dos
18	pasajeros
19	sufrieron
20	en
21	las
22	manos
23	al
24	romper
25	el
26	cristal
27	que
28	guarda
29	el
30	freno
31	de
32	emergencia
33	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	2	advmod
2	hubo	AUX	0	root
3	daños	NOUN	2	obj
4	personales	ADJ	3	amod
5	ni	CCONJ	6	cc
6	materiales	ADJ	4	conj
7	,	PUNCT	11	punct
8	aunque	SCONJ	13	mark
9	los	DET	10	det
10	médicos	NOUN	13	nsubj
11	tuvieron	VERB	2	advcl
12	que	SCONJ	13	cc
13	curar	VERB	11	conj
14	los	DET	15	det
15	cortes	NOUN	13	obj
16	que	PRON	19	obj
17	dos	NUM	18	nummod
18	pasajeros	NOUN	19	nsubj
19	sufrieron	VERB	15	acl
20	en	ADP	22	case
21	las	DET	22	det
22	manos	NOUN	19	obl
23	al	ADP	24	mark
24	romper	VERB	19	advcl
25	el	DET	26	det
26	cristal	NOUN	24	obj
27	que	PRON	28	nsubj
28	guarda	VERB	26	acl
29	el	DET	30	det
30	freno	NOUN	28	obj
31	de	ADP	32	case
32	emergencia	NOUN	30	nmod
33	.	PUNCT	2	punct