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:
Por su parte, un grupo médico de la Cruz Roja manifestó que lo que más afectaba a los cautivos, entre los que se encuentran cinco mujeres, es el ambiente deprimente en el que viven.
Postion	Tokenization
1	Por
2	su
3	parte
4	,
5	un
6	grupo
7	médico
8	de
9	la
10	Cruz
11	Roja
12	manifestó
13	que
14	lo
15	que
16	más
17	afectaba
18	a
19	los
20	cautivos
21	,
22	entre
23	los
24	que
25	se
26	encuentran
27	cinco
28	mujeres
29	,
30	es
31	el
32	ambiente
33	deprimente
34	en
35	el
36	que
37	viven
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	su	DET	3	det
3	parte	NOUN	12	obl
4	,	PUNCT	3	punct
5	un	DET	6	det
6	grupo	NOUN	12	nsubj
7	médico	ADJ	6	amod
8	de	ADP	10	case
9	la	DET	10	det
10	Cruz	PROPN	6	nmod
11	Roja	PROPN	10	flat
12	manifestó	VERB	0	root
13	que	SCONJ	32	mark
14	lo	PRON	17	det
15	que	PRON	17	nsubj
16	más	ADV	17	advmod
17	afectaba	VERB	32	csubj
18	a	ADP	20	case
19	los	DET	20	det
20	cautivos	NOUN	17	obj
21	,	PUNCT	26	punct
22	entre	ADP	24	case
23	los	DET	24	det
24	que	PRON	26	obl
25	se	PRON	26	expl:pv
26	encuentran	VERB	20	acl
27	cinco	NUM	28	nummod
28	mujeres	NOUN	26	nsubj
29	,	PUNCT	26	punct
30	es	AUX	32	cop
31	el	DET	32	det
32	ambiente	NOUN	12	ccomp
33	deprimente	ADJ	32	amod
34	en	ADP	36	case
35	el	DET	36	det
36	que	PRON	37	obl
37	viven	VERB	32	acl
38	.	PUNCT	12	punct