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:
La religiosa vive en Agrigento y pertenece a la congregación de las Hijas de la Caridad de San Vicente Paúl, que en los años 50 trabajaban en los hospitales.
Postion	Tokenization
1	La
2	religiosa
3	vive
4	en
5	Agrigento
6	y
7	pertenece
8	a
9	la
10	congregación
11	de
12	las
13	Hijas
14	de
15	la
16	Caridad
17	de
18	San
19	Vicente
20	Paúl
21	,
22	que
23	en
24	los
25	años
26	50
27	trabajaban
28	en
29	los
30	hospitales
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	religiosa	NOUN	3	nsubj
3	vive	VERB	0	root
4	en	ADP	5	case
5	Agrigento	PROPN	3	obl
6	y	CCONJ	7	cc
7	pertenece	VERB	3	conj
8	a	ADP	10	case
9	la	DET	10	det
10	congregación	NOUN	7	obj
11	de	ADP	13	case
12	las	DET	13	det
13	Hijas	PROPN	10	nmod
14	de	ADP	16	case
15	la	DET	16	det
16	Caridad	PROPN	13	flat
17	de	ADP	18	case
18	San	PROPN	13	flat
19	Vicente	PROPN	18	flat
20	Paúl	PROPN	18	flat
21	,	PUNCT	27	punct
22	que	PRON	27	nsubj
23	en	ADP	25	case
24	los	DET	25	det
25	años	NOUN	27	obl
26	50	NUM	25	compound
27	trabajaban	VERB	13	acl
28	en	ADP	30	case
29	los	DET	30	det
30	hospitales	NOUN	27	obl
31	.	PUNCT	3	punct