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:
Tres heridos fueron ayer dados de alta, por lo que 35 personas permanecían anoche ingresadas en hospitales de Tarragona, Reus, Valls, Viladecans, Martorell, Ontinyent, Madrid y Barcelona.
Postion	Tokenization
1	Tres
2	heridos
3	fueron
4	ayer
5	dados
6	de
7	alta
8	,
9	por
10	lo
11	que
12	35
13	personas
14	permanecían
15	anoche
16	ingresadas
17	en
18	hospitales
19	de
20	Tarragona
21	,
22	Reus
23	,
24	Valls
25	,
26	Viladecans
27	,
28	Martorell
29	,
30	Ontinyent
31	,
32	Madrid
33	y
34	Barcelona
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Tres	NUM	2	nummod
2	heridos	NOUN	5	nsubj
3	fueron	AUX	5	aux
4	ayer	ADV	5	advmod
5	dados	VERB	0	root
6	de	ADP	5	advmod
7	alta	NOUN	6	fixed
8	,	PUNCT	14	punct
9	por	ADP	14	mark
10	lo	PRON	14	det
11	que	PRON	14	obl
12	35	NUM	13	nummod
13	personas	NOUN	14	nsubj
14	permanecían	VERB	5	advcl
15	anoche	ADV	14	advmod
16	ingresadas	ADJ	14	obj
17	en	ADP	18	case
18	hospitales	NOUN	16	obl
19	de	ADP	20	case
20	Tarragona	PROPN	18	nmod
21	,	PUNCT	22	punct
22	Reus	PROPN	20	conj
23	,	PUNCT	24	punct
24	Valls	PROPN	20	conj
25	,	PUNCT	26	punct
26	Viladecans	PROPN	20	conj
27	,	PUNCT	28	punct
28	Martorell	PROPN	20	conj
29	,	PUNCT	30	punct
30	Ontinyent	PROPN	20	conj
31	,	PUNCT	32	punct
32	Madrid	PROPN	20	conj
33	y	CCONJ	34	cc
34	Barcelona	PROPN	20	conj
35	.	PUNCT	5	punct